This paper presents a predefined-time controller for Multiple Space transportation Robots System (MSRS), which can be applied in on-orbit assembly tasks to transport modules to pre-assembly configuration quickly. Firs...This paper presents a predefined-time controller for Multiple Space transportation Robots System (MSRS), which can be applied in on-orbit assembly tasks to transport modules to pre-assembly configuration quickly. Firstly, to simplify the analysis and design of predefined-time controller, a Predefined-time Stability Criterion is proposed in the form of Composite Lyapunov Function (CLF-PSC). Besides simplicity, the CLF-PSC also has the advantage of less conservativeness due to utilization of initial state information. Secondly, a concept of Lp-Norm-Normalized Sign Function (LPNNSF) is proposed based on the CLF-PSC. Different from traditional norm-normalized sign function, the Lp-norm of LPNNSF can be selected arbitrarily according to practical control task requirements, which means that the proposed LPNNSF is more generalized and more convenient for calculation. Thirdly, a predefined-time disturbance observer and predefined-time controller are designed based on the LPNNSF. The observer has the property of predefined-time convergence to achieve quicker and more accurate estimation of the lumped disturbance. The controller has less control input and chattering phenomenon than traditional predefined-time controller. In addition, by introducing the observer into the controller, the closed-loop system enjoys high precision and strong robustness. Finally, the effectiveness of the proposed controller is verified by numerical simulations. By employing the controller, the MSRS can carry assembly modules to the desired pre-assembly configuration accurately within predefined time.展开更多
Dear Editor,This letter addresses the robust predefined-time control challenge for leaderless optimal formation in networked mobile vehicle(NMV)systems.The aim is to minimize a composite global cost function derived f...Dear Editor,This letter addresses the robust predefined-time control challenge for leaderless optimal formation in networked mobile vehicle(NMV)systems.The aim is to minimize a composite global cost function derived from individual strongly convex functions of each agent,considering both input disturbances and network communication constraints.A novel predefined-time optimal formation control(PTOFC)algorithm is presented,ensuring agent state convergence to optimal formation positions within an adjustable settling time.Through the integration of an integral sliding mode technique,disturbances are effectively countered.A representative numerical example highlights the effectiveness and robustness of the developed approach.展开更多
This article investigates the adaptive neural network predefined-time consensus control problem for fractional-order multiagent systems(MASs)with output constraints.Due to the unknown nonlinear dynamics and unmeasurab...This article investigates the adaptive neural network predefined-time consensus control problem for fractional-order multiagent systems(MASs)with output constraints.Due to the unknown nonlinear dynamics and unmeasurable states in fractional-order MASs,neural networks are employed to identify the unknown nonlinear functions,and the neural network state observers are designed to estimate the unmeasurable states.In addition,a predefined-time stabilization criterion for fractional-order MASs is introduced.The barrier Lyapunov function is introduced to address the output constraint problem,and an event-triggered mechanism with a switching threshold is proposed to conserve communication resources.Then,by combining the fractional-order dynamic surface control design approach with predefined-time theory,an adaptive predefined-time control scheme based on event-triggered control is proposed.Finally,it is demonstrated that the controlled system achieves semi-global practical predefined-time stability(SGPPTS),with all signals remaining bounded.The effectiveness of the proposed theory and method is demonstrated through simulation results.展开更多
To address the attitude control problem under the uncertainty,external disturbance,and actuator failure,a predefined-time fault-tolerant control method based on a predefined time disturbance observer is proposed.First...To address the attitude control problem under the uncertainty,external disturbance,and actuator failure,a predefined-time fault-tolerant control method based on a predefined time disturbance observer is proposed.First,the dynamics model of hypersonic morphing vehicle(HMV)is established,and the control system is designed as an outer-loop attitude angle control loop and an inner-loop angular rate control loop considering the actuator failure problem.Secondly,a predefined-time disturbance observer is designed to estimate the comprehensive disturbances,and compensate in the control law.By integrating back-stepping control with predefined-time theory,a predefined-time attitude tracking control method is proposed,enabling the convergence time of the attitude tracking error to be designed through a simple parameter.Rigorous Lyapunov function analysis has demonstrated that the attitude tracking error can converge to an arbitrarily small neighborhood around the origin within a predefined time,and all signals in the closedloop system are bounded.Finally,comparative simulations validate the effectiveness of the proposed method.展开更多
This paper investigates the modeling and the practical predefined-time(PdT)tracking control problems for a fully actuated disk-shaped autonomous underwater vehicle(AUV)with six degrees of freedom.To overcome the gimba...This paper investigates the modeling and the practical predefined-time(PdT)tracking control problems for a fully actuated disk-shaped autonomous underwater vehicle(AUV)with six degrees of freedom.To overcome the gimbal lock problem inherent in Euler angle representation,unit quaternions are adopted to model the AUV,accounting for internal uncertainties and external disturbances.Then,an improved time-varying function is introduced,which serves as the basis for designing a nonsingular sliding surface and sliding mode controller with PdT stability.This approach ensures that the tracking errors converge within a predefined time,independent of initial conditions and design parameters.Compared with traditional PdT controllers,the proposed method eliminates singularities,enhances the precision of convergence time estimation,and typically yields smaller,smoother initial control inputs,thus improving its potential for engineering applications.Numerical simulations validate the effectiveness and performance of the proposed controller.展开更多
This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constr...This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constraints.To achieve a salvo attack against a maneuvering target from various directions,the guidance problem is tackled by addressing two critical factors:ensuring that the time-of-arrival is consistent and that the desired approach angles can be met.Considering the short duration of the homing guidance process,the convergence with predefined time for guidance states(especially the approach angle and time-to-go)is factored in.First,for the simultaneous arrival,a PPT guidance law is developed,which can meet the same time-to-go convergence rate in the Line-of-Sight(LOS)direction.Then,in the normal LOS direction,a 3D PPT guidance law is presented considering the approach angle constraint so that the desired approach angles can be reached within a user-designed time.The time-based generator technique is employed in the proposed PPT Cooperative Guidance Law(PPTCGL)to avoid the time-varying gain singularity issue.Notably,this technique can allow the convergence time to be preset in advance,independent of initial system conditions and tuning parameters.Additionally,to avoid excessive gain and improve the robustness of guidance law,a PPT disturbance observer is designed against uncertainties and target maneuvers so that the guidance system perturbation can be compensated in real time.It is userfriendly that the convergence of disturbance estimation can be met with a flexible pre-setting time before achieving the terminal guidance constraints.Finally,extensive numerical simulations are conducted to verify the effectiveness and robustness of the proposed PPTCGL in both the nominal cases and the Monte Carlo test.展开更多
The paper presents a two-layer,disturbance-resistant,and fault-tolerant affine formation maneuver control scheme that accomplishes the surrounding of a dynamic target with multiple underactuated Quadrotor Unmanned Aer...The paper presents a two-layer,disturbance-resistant,and fault-tolerant affine formation maneuver control scheme that accomplishes the surrounding of a dynamic target with multiple underactuated Quadrotor Unmanned Aerial Vehicles(QUAVs).This scheme mainly consists of predefinedtime estimators and fixed-time tracking controllers,with a hybrid Laplacian matrix describing the communication among these QUAVs.At the first layer,we devise predefined time estimators for leading and following QUAVs,enabling accurate estimation of desired information.In the second layer,we initially devise a fixed-time hybrid observer to estimate unknown disturbances and actuator faults.Fixedtime translational tracking controllers are then proposed,and the intermediary control input from these controllers is used to extract the desired attitude and angular velocities for the fixed-time rotational tracking controllers.We employ an exact tracking differentiator to handle variables that are challenging to differentiate directly.The paper includes a demonstration of the control system stability through mathematical proof,as well as the presentation of simulation results and comparative simulations.展开更多
This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linea...This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linearity and mismatched switching jump coefficients.Based on Filippov solution theory and Lyapunov methods,this work develops an enhanced FxTS criterion delivering a tighter upper bound on convergence time and thereby extending guaranteed fixed-time behavior to a wider range of networks.A refined PTS condition that incorporates additional state-dependent terms accelerates error decay and reduces conservatism during the transient response.Numerical simulations show that the convergence rate of PTS under this strategy is significantly improved.Moreover,an optimization model with minimum control energy and dynamic error as objective functions is proposed to obtain more accurate controller parameters,and the stochastic inertia weight particle swarm optimization(SIWPSO)algorithm is introduced to solve the optimization model.Numerical studies not only validate the theoretical results for both FxTS and PTS but also demonstrate a secure communication application in which the chaos of the IMNNs acts as a masking carrier and enables perfect encryption and decryption of a complex test signal through SIWPSO-optimized FxTS and PTS.展开更多
This paper develops a novel Neural Network(NN)-based adaptive nonsingular practical predefined-time controller for the hypersonic morphing aircraft subject to actuator faults. Firstly, a novel Lyapunov criterion of pr...This paper develops a novel Neural Network(NN)-based adaptive nonsingular practical predefined-time controller for the hypersonic morphing aircraft subject to actuator faults. Firstly, a novel Lyapunov criterion of practical predefined-time stability is established. Following the proposed criterion, a tangent function based nonsingular predefined-time sliding manifold and the control strategy are developed. Secondly, the radial basis function NN with a low-complexity adaptation mechanism is incorporated into the controller to tackle the actuator faults and uncertainties. Thirdly, rigorous theoretical proof reveals that the attitude tracking errors can converge to a small region around the origin within a predefined time, while all signals in the closed-loop system remain bounded. Finally, numerical simulation results are presented to verify the effectiveness and improved performance of the proposed control scheme.展开更多
In this paper, a command filter-based adaptive fuzzy predefined-time event-triggered tracking control problem is investigated for uncertain nonlinear systems with time-varying full-state constraints. By designing a sl...In this paper, a command filter-based adaptive fuzzy predefined-time event-triggered tracking control problem is investigated for uncertain nonlinear systems with time-varying full-state constraints. By designing a sliding mode differentiator, the inherent computational complexity problem within the predefined-time backstepping framework is solved. Different from the existing command filter-based finite-time and fixed-time control strategies that the convergence time of the filtering error is adjusted through the system initial value or numerous parameters, a novel command filtering error compensation method is presented,which tunes one control parameter to make the filtering error converge in the predefined time, thereby reducing the complexity of design and analysis of processing the filtering error. Then, an improved event-triggered mechanism(ETM) that builds upon the switching threshold strategy, in which an inverse cotangent function is designed to replace the residual term of the ETM,is proposed to gradually release the controller's dependence on the residual term with increasing time. Furthermore, a tan-type nonlinear mapping technique is applied to tackle the time-varying full-state constraints problem. By the predefined-time stability theory, all signals in the uncertain nonlinear systems exhibit predefined-time stability. Finally, the feasibility of the proposed algorithm is substantiated through two simulation results.展开更多
The system performance of grid-connected photovoltaic(PV)has a serious impact on the grid stability.To improve the control performance and shorten the convergence time,a predefined-time controller based on backsteppin...The system performance of grid-connected photovoltaic(PV)has a serious impact on the grid stability.To improve the control performance and shorten the convergence time,a predefined-time controller based on backstepping technology and dynamic surface control is formulated for the inverter in the grid-connected photovoltaic.The time-varying tuning functions are introduced into state-tracking errors to realize the predefined-time control effect.To address the“computational explosion problem”in the design process of backstepping control,dynamic surface control is adopted to avoid the analytical calculations of virtual control.The disturbances of the PV system are estimated and compensated by adaptive laws.The control parameters are chosen and the global stability of the closed-loop is ensured by Lyapunov conditions.Simulation results confirm the effectiveness of the proposed controller and ensure the predefined time control in the photovoltaic inverter.展开更多
This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mi...This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mission is disturbed by the measurement noise and the target adversarial behavior.To address these problems,a model-free Combined Adaptive-length Datadriven Predictive Controller(CADPC)is proposed.It consists of a separated subsystem identification method and a combined predictive control strategy.The subsystem identification method is composed of an adaptive data length,thereby reducing sensitivity to undetermined measurement noises and disturbances.Based on the subsystem identification,the combined predictive controller is established,reducing calculating resource.The stability of the CADPC is rigorously proven using the Input-to-State Stable(ISS)theorem and the small-gain theorem.Simulations demonstrate that CADPC effectively handles the model-free space robot post operation in the presence of significant disturbances,state measurement noise,and control input errors.It achieves improved steady-state accuracy,reduced steady-state control consumption,and minimized control input chattering.展开更多
This study establishes a high-speed nano-positioning stage composed of a symmetrically driven structure with multiple parallel-bonded thin piezoelectric ceramic layers capable of performing micro-or nanoscale manipula...This study establishes a high-speed nano-positioning stage composed of a symmetrically driven structure with multiple parallel-bonded thin piezoelectric ceramic layers capable of performing micro-or nanoscale manipulations.Accordingly,a neural-network-based switching output regulation controller(NNSORC)was developed to compensate for the associated hysteresis nonlinearity.To address the challenges of slow floating-point computation speeds and low compilation efficiency,a closed-loop control system with a field-programmable gate array–central processing unit(FPGA–CPU)dual-layer data-processing framework was developed.A feedback linearization method was designed to linearize the hysteresis nonlinearity of the framework,resulting in a switching-tracking error system.With the assistance of Lyapunov theory and an average dwell time technique,sufficient conditions were derived to ensure the asymptotic stability of the NN-SORC governing closed-loop system using the switching reference signals often encountered in realistic micro-ano-scale detection and manufacturing processes.Finally,extensive comparative experiments were conducted to verify the effectiveness and superiority of the proposed NN-SORC scheme.展开更多
Dear Editor,This letter presents a solution to the problem of seeking Nash equilibrium(NE)in a class of non-cooperative games of multi-agent systems(MASs)subject to the input disturbance and the networked communicatio...Dear Editor,This letter presents a solution to the problem of seeking Nash equilibrium(NE)in a class of non-cooperative games of multi-agent systems(MASs)subject to the input disturbance and the networked communication.To this end,a novel distributed robust predefined-time algorithm is proposed,which ensures the precise convergence of agent states to the NE within a settling time that can be directly determined by adjusting one or more parameters.The proposed algorithm employs an integral sliding mode strategy to effectively reject disturbances.Additionally,a consensus-based estimator is designed to overcome the challenge of limited information availability,where each agent can only access information from its directly connected neighbors,which conflicts with the computation of the cost function that requires information from all agents.Finally,a numerical example is provided to demonstrate the algorithm's effectiveness and performance.展开更多
Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybr...Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybrid control method was proposed.This method included a hybrid controller composed of a slope-based controller and a proportional-integral-derivative(PID)controller.The speed of agricultural machinery was influenced by longitudinal forces,which were divided into two parts:one part was slope-related forces and conventional resistance,and the other was hard-to-estimate forces,such as sliding friction.For the first part,a slope-based controller was designed;for the second part,a PID controller was implemented.By combining these two controllers,the system can dynamically adjust the throttle opening and the brake master cylinder pressure,ensuring steady speed travel on sloping farmland.Simulation tests at a target speed of 7 km/h demonstrated that the proposed controller maintained a stable speed,achieving a root mean square error of 0.13 km/h and a mean absolute percentage error of 1.6%.Field tests on a practical experimental platform validated the method’s effectiveness,with results showing consistent control performance across varying slope conditions.The proposed controller demonstrated superior control performance.Experimental data verified that this method can achieve precise control of the agricultural machinery’s movement speed,meeting the stability requirements for agricultural operations.展开更多
The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has dri...The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has driven a growing need for robust ICS security measures.Among the key defences,intrusion detection technology is critical in identifying threats to ICS networks.This paper provides an overview of the distinctive characteristics of ICS network security,highlighting standard attack methods.It then examines various intrusion detection methods,including those based on misuse detection,anomaly detection,machine learning,and specialised requirements.This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations.展开更多
Single-time fertilization(STF)with controlled release blended fertilizer(CRBF)improves grain yield and nitrogen use efficiency(NUE)in rice production.However,the impact of soil nitrogen(N)distribution and root growth ...Single-time fertilization(STF)with controlled release blended fertilizer(CRBF)improves grain yield and nitrogen use efficiency(NUE)in rice production.However,the impact of soil nitrogen(N)distribution and root growth on rice yield and NUE under STF with CRBF remains unclear.Here,a two-year field experiment investigated the effects of two fertilizer types(normal urea(U)and CRBF)and two single-time fertilization methods(broadcast and side-deep fertilization)on the soil N distribution,plant N uptake,root characteristics,grain yield,and NUE.The results showed that CRBF under STF increased the averages of plant dry matter accumulation,N uptake,grain yield,nitrogen recovery efficiency(NRE),and nitrogen agronomic efficiency(NAE)by 8.29,21.85,10.57,79.28,and 74.8%compared to the other treatments,respectively.Side-deep fertilization with CRBF further increased NUE by 12.78%compared to broadcast.Moreover,CRBF under STF increased the leaf SPAD value and glutamine synthetase(GS)/glutamine oxoglutarate aminotransferase(GOGAT)activity by 5.93 and 25.58%,respectively.CRBF under STF increased the soil inorganic N concentration and showed a“rising early and stabilizing later”pattern.In addition,CRBF under STF improved rice root growth and increased the averages of root biomass,total root number,root average diameter,total root length,total root surface area,and total root volume by 28.30,28.56,18.64,13.38,35.26,and 37.06%,respectively,at the tillering and heading stages.Partial least squares path modeling indicated that CRBF under STF increased the soil inorganic N concentration which improved root morphology,thereby increasing N uptake and improving the rice yield and NUE.Taken together,our findings show that CRBF with single-time fertilization is the preferred N fertilizer strategy for achieving high yield and efficiency in rice,and that side-deep fertilization is the optimal fertilization method.展开更多
The demand for 238Pu (nuclear battery heat source) drives the separation of its precursor,237Np,from spent nuclear fuel (SNF).However,the co-existence of multi-valence states (Ⅳ/Ⅴ/Ⅵ) of Np and similar redox b...The demand for 238Pu (nuclear battery heat source) drives the separation of its precursor,237Np,from spent nuclear fuel (SNF).However,the co-existence of multi-valence states (Ⅳ/Ⅴ/Ⅵ) of Np and similar redox behavior with Pu(Ⅳ) hinder the effective separation of Np.N-Butyraldehyde (n-C3H7CHO) selectively reduces Np(Ⅵ) to Np(Ⅴ) without reducing Pu(Ⅳ).Herein,we examined the reduction mechanisms of Np(Ⅵ) and Pu(Ⅳ) by n-C3H7CHO using relativistic density functional theory.Based on the results of the potential energy profiles,the reductions of both Np(Ⅵ) and Pu(Ⅳ) by n-C3H7CHO are thermodynamically feasible,whereas only the former is kinetically achievable.It uncovers that n-C3H7CHO can only reduce Np(Ⅵ) to Np(Ⅴ) owing to kinetically controlled selective reduction.The analyses of spin density and bond distance indicate that the reduction nature for the first Np(Ⅵ)/Pu(Ⅳ) belongs to hydrogen atom transfer,whereas that for the second one involves outer-sphere electron transfer.Localized molecular orbitals (LMOs) analysis discloses the bonding evolution during the reduction process of Np(Ⅵ)/Pu(Ⅳ).This study elucidates the reason behind the kinetically controlled selective reduction of Np(Ⅵ)/Pu(Ⅳ) by nC3H7CHO at the molecular level and offers in-depth perspectives on the isolation of specific metal ions from the view of kinetic control.展开更多
Fluidic Thrust Vectoring(FTV)is used for the yaw attitude control of tailless flying wing,which can significantly improve stealth performance,maneuverability and lateral/heading maneuverability.The FTV control scheme ...Fluidic Thrust Vectoring(FTV)is used for the yaw attitude control of tailless flying wing,which can significantly improve stealth performance,maneuverability and lateral/heading maneuverability.The FTV control scheme of co-directional secondary flow was designed based on a 30 kgf thrust turbojet engine,an equivalent rudder deflection control variable of Mass Flow Combination(MFC)was proposed,and a control model was established to form a FTV control system scheme,which was integrated with the flight control system of a 100 kg tailless flying wing with medium aspect ratio to achieve closed-loop control of the yaw attitude based on FTV.The heading stability augmentation and maneuvering control characteristics and time response characteristics of tailless flying wing by FTV were quantitatively studied through virtual flight test in a wind tunnel at a wind speed of 35 m/s.The results show that the control strategy based on MFC achieves bidirectional continuous and stable control of thrust vector angle in a range of±11°,and the thrust vector angle varies monotonically with MFC;the co-directional FTV realizes bidirectional continuous and stable control of the yaw attitude of tailless flying wing,without longitudinal/lateral coupling moment.The increment of the maximum yawing moment coefficient is 0.0029,the maximum yaw rate is 7.55(°)/s,and the response time of the yaw rate of the vectoring nozzle actuated by the secondary flow is about 0.06 s,which satisfies the heading stability augmentation and maneuvering control response requirements of the aircraft with statically unstable heading,and provides new control means for the heading rudderless attitude control of tailless flying wing.展开更多
Dear Editor,This letter concerns the design of sliding mode control(SMC)for semi-Markov switching systems with time-varying transmission and impulse delay.The difficulties of this problem are:1)Time-varying transmissi...Dear Editor,This letter concerns the design of sliding mode control(SMC)for semi-Markov switching systems with time-varying transmission and impulse delay.The difficulties of this problem are:1)Time-varying transmission and impulse delay bring more nonlinear dynamic characteristics and lag effects;2)Semi-Markov mode switching introduces uncertainty;3)The reachable stage and sliding stage are affected by two types of impulses in the system,which increases the complexity of theoretical derivation.展开更多
基金co-supported by the National Natural Science Foundation of China(Nos.12372048,12102343)the Key Program of the National Natural Science Foundation of China(No.U2013206)+1 种基金the China Postdoctoral Science Foundation(No.2023M742835)the Guangdong Basic and Applied Basic Research Foundation,China(No.2023A1515011421).
摘要This paper presents a predefined-time controller for Multiple Space transportation Robots System (MSRS), which can be applied in on-orbit assembly tasks to transport modules to pre-assembly configuration quickly. Firstly, to simplify the analysis and design of predefined-time controller, a Predefined-time Stability Criterion is proposed in the form of Composite Lyapunov Function (CLF-PSC). Besides simplicity, the CLF-PSC also has the advantage of less conservativeness due to utilization of initial state information. Secondly, a concept of Lp-Norm-Normalized Sign Function (LPNNSF) is proposed based on the CLF-PSC. Different from traditional norm-normalized sign function, the Lp-norm of LPNNSF can be selected arbitrarily according to practical control task requirements, which means that the proposed LPNNSF is more generalized and more convenient for calculation. Thirdly, a predefined-time disturbance observer and predefined-time controller are designed based on the LPNNSF. The observer has the property of predefined-time convergence to achieve quicker and more accurate estimation of the lumped disturbance. The controller has less control input and chattering phenomenon than traditional predefined-time controller. In addition, by introducing the observer into the controller, the closed-loop system enjoys high precision and strong robustness. Finally, the effectiveness of the proposed controller is verified by numerical simulations. By employing the controller, the MSRS can carry assembly modules to the desired pre-assembly configuration accurately within predefined time.
基金supported by the National Natural Science Foundation of China(62373162,U24A20268,624B2055)the Shenzhen Science and Technology Program(JCYJ 20240813114007010)the Knowledge Innovation Program of Wuhan-Basic Research(2023010201010100).
摘要Dear Editor,This letter addresses the robust predefined-time control challenge for leaderless optimal formation in networked mobile vehicle(NMV)systems.The aim is to minimize a composite global cost function derived from individual strongly convex functions of each agent,considering both input disturbances and network communication constraints.A novel predefined-time optimal formation control(PTOFC)algorithm is presented,ensuring agent state convergence to optimal formation positions within an adjustable settling time.Through the integration of an integral sliding mode technique,disturbances are effectively countered.A representative numerical example highlights the effectiveness and robustness of the developed approach.
基金supported in part by the National Natural Science Foundation of China(Nos.62403226,62176111,62333004)in part by the Doctoral Research Initiation foundation of Liaoning Province,China under Grant No.2021-BS-260+4 种基金in part by the general project of Liaoning Provincial Department of Education under Grant No.LIKZ0627the Excellent Young Scientists Fund Program(Overseas),in part by the“Xingliao Talent Plan”for young top talents under Grant No.XLYC2203188the 2024 Fundamental Research Funding of the Educational Department of Liaoning Province under Grant No.LJZZ222410154006the 2023 Education Department Basic Research Project(Youth Project)under Grant No.JYTQN2023225the 2024 Fundamental Research Funding of the Educational Department of Liaoning Province under Grant No.LJZZ222410154001.
摘要This article investigates the adaptive neural network predefined-time consensus control problem for fractional-order multiagent systems(MASs)with output constraints.Due to the unknown nonlinear dynamics and unmeasurable states in fractional-order MASs,neural networks are employed to identify the unknown nonlinear functions,and the neural network state observers are designed to estimate the unmeasurable states.In addition,a predefined-time stabilization criterion for fractional-order MASs is introduced.The barrier Lyapunov function is introduced to address the output constraint problem,and an event-triggered mechanism with a switching threshold is proposed to conserve communication resources.Then,by combining the fractional-order dynamic surface control design approach with predefined-time theory,an adaptive predefined-time control scheme based on event-triggered control is proposed.Finally,it is demonstrated that the controlled system achieves semi-global practical predefined-time stability(SGPPTS),with all signals remaining bounded.The effectiveness of the proposed theory and method is demonstrated through simulation results.
摘要To address the attitude control problem under the uncertainty,external disturbance,and actuator failure,a predefined-time fault-tolerant control method based on a predefined time disturbance observer is proposed.First,the dynamics model of hypersonic morphing vehicle(HMV)is established,and the control system is designed as an outer-loop attitude angle control loop and an inner-loop angular rate control loop considering the actuator failure problem.Secondly,a predefined-time disturbance observer is designed to estimate the comprehensive disturbances,and compensate in the control law.By integrating back-stepping control with predefined-time theory,a predefined-time attitude tracking control method is proposed,enabling the convergence time of the attitude tracking error to be designed through a simple parameter.Rigorous Lyapunov function analysis has demonstrated that the attitude tracking error can converge to an arbitrarily small neighborhood around the origin within a predefined time,and all signals in the closedloop system are bounded.Finally,comparative simulations validate the effectiveness of the proposed method.
基金supported in part by the National Natural Science Foundation of China(62373107)the“Zhishan”Scholars Programs of Southeast University(2242023R40011).
摘要This paper investigates the modeling and the practical predefined-time(PdT)tracking control problems for a fully actuated disk-shaped autonomous underwater vehicle(AUV)with six degrees of freedom.To overcome the gimbal lock problem inherent in Euler angle representation,unit quaternions are adopted to model the AUV,accounting for internal uncertainties and external disturbances.Then,an improved time-varying function is introduced,which serves as the basis for designing a nonsingular sliding surface and sliding mode controller with PdT stability.This approach ensures that the tracking errors converge within a predefined time,independent of initial conditions and design parameters.Compared with traditional PdT controllers,the proposed method eliminates singularities,enhances the precision of convergence time estimation,and typically yields smaller,smoother initial control inputs,thus improving its potential for engineering applications.Numerical simulations validate the effectiveness and performance of the proposed controller.
基金supported by the National Natural Science Foundation of China(No.62573024)the Beijing Natural Science Foundation of China(No.4242041)+1 种基金the Fundamental Research Funds for the Central Universities of Chinathe Project of National Key Laboratory of Unmanned Aerial Vehicle Technology in Northwestern Polytechnical University,China(No.WR202404)。
摘要This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constraints.To achieve a salvo attack against a maneuvering target from various directions,the guidance problem is tackled by addressing two critical factors:ensuring that the time-of-arrival is consistent and that the desired approach angles can be met.Considering the short duration of the homing guidance process,the convergence with predefined time for guidance states(especially the approach angle and time-to-go)is factored in.First,for the simultaneous arrival,a PPT guidance law is developed,which can meet the same time-to-go convergence rate in the Line-of-Sight(LOS)direction.Then,in the normal LOS direction,a 3D PPT guidance law is presented considering the approach angle constraint so that the desired approach angles can be reached within a user-designed time.The time-based generator technique is employed in the proposed PPT Cooperative Guidance Law(PPTCGL)to avoid the time-varying gain singularity issue.Notably,this technique can allow the convergence time to be preset in advance,independent of initial system conditions and tuning parameters.Additionally,to avoid excessive gain and improve the robustness of guidance law,a PPT disturbance observer is designed against uncertainties and target maneuvers so that the guidance system perturbation can be compensated in real time.It is userfriendly that the convergence of disturbance estimation can be met with a flexible pre-setting time before achieving the terminal guidance constraints.Finally,extensive numerical simulations are conducted to verify the effectiveness and robustness of the proposed PPTCGL in both the nominal cases and the Monte Carlo test.
基金supported by Natural Science Basic Research Plan in Shaanxi Province of China(No.2023-JC-QN-0733)Guangdong Basic and Applied Basic Research Foundation,China(No.2022A1515110753)+2 种基金China Postdoctoral Science Foundation(No.2022M722583)China Industry-UniversityResearch Innovation Foundation(No.2022IT188)National Key Laboratory of Air-based Information Perception and Fusion and the Aeronautic Science Foundation of China(No.20220001068001)。
摘要The paper presents a two-layer,disturbance-resistant,and fault-tolerant affine formation maneuver control scheme that accomplishes the surrounding of a dynamic target with multiple underactuated Quadrotor Unmanned Aerial Vehicles(QUAVs).This scheme mainly consists of predefinedtime estimators and fixed-time tracking controllers,with a hybrid Laplacian matrix describing the communication among these QUAVs.At the first layer,we devise predefined time estimators for leading and following QUAVs,enabling accurate estimation of desired information.In the second layer,we initially devise a fixed-time hybrid observer to estimate unknown disturbances and actuator faults.Fixedtime translational tracking controllers are then proposed,and the intermediary control input from these controllers is used to extract the desired attitude and angular velocities for the fixed-time rotational tracking controllers.We employ an exact tracking differentiator to handle variables that are challenging to differentiate directly.The paper includes a demonstration of the control system stability through mathematical proof,as well as the presentation of simulation results and comparative simulations.
基金supported by the National Natural Science Foundation of China(62366014,62473348)Jiangxi Provincial Natural Science Foundation(20252BAC250013)。
摘要This paper studies the fixed-time synchronization(FxTS)and predefined-time synchronization(PTS)of a class of inertial memristive neural networks(IMNNs),which have unbounded proportional delay independent of time linearity and mismatched switching jump coefficients.Based on Filippov solution theory and Lyapunov methods,this work develops an enhanced FxTS criterion delivering a tighter upper bound on convergence time and thereby extending guaranteed fixed-time behavior to a wider range of networks.A refined PTS condition that incorporates additional state-dependent terms accelerates error decay and reduces conservatism during the transient response.Numerical simulations show that the convergence rate of PTS under this strategy is significantly improved.Moreover,an optimization model with minimum control energy and dynamic error as objective functions is proposed to obtain more accurate controller parameters,and the stochastic inertia weight particle swarm optimization(SIWPSO)algorithm is introduced to solve the optimization model.Numerical studies not only validate the theoretical results for both FxTS and PTS but also demonstrate a secure communication application in which the chaos of the IMNNs acts as a masking carrier and enables perfect encryption and decryption of a complex test signal through SIWPSO-optimized FxTS and PTS.
基金supported by the National Natural Science Foundation of China (Nos. 52233014, U2241215)。
摘要This paper develops a novel Neural Network(NN)-based adaptive nonsingular practical predefined-time controller for the hypersonic morphing aircraft subject to actuator faults. Firstly, a novel Lyapunov criterion of practical predefined-time stability is established. Following the proposed criterion, a tangent function based nonsingular predefined-time sliding manifold and the control strategy are developed. Secondly, the radial basis function NN with a low-complexity adaptation mechanism is incorporated into the controller to tackle the actuator faults and uncertainties. Thirdly, rigorous theoretical proof reveals that the attitude tracking errors can converge to a small region around the origin within a predefined time, while all signals in the closed-loop system remain bounded. Finally, numerical simulation results are presented to verify the effectiveness and improved performance of the proposed control scheme.
基金supported by the Revitalization of Liaoning Talents Program(Grant No.XLYC2203201)。
摘要In this paper, a command filter-based adaptive fuzzy predefined-time event-triggered tracking control problem is investigated for uncertain nonlinear systems with time-varying full-state constraints. By designing a sliding mode differentiator, the inherent computational complexity problem within the predefined-time backstepping framework is solved. Different from the existing command filter-based finite-time and fixed-time control strategies that the convergence time of the filtering error is adjusted through the system initial value or numerous parameters, a novel command filtering error compensation method is presented,which tunes one control parameter to make the filtering error converge in the predefined time, thereby reducing the complexity of design and analysis of processing the filtering error. Then, an improved event-triggered mechanism(ETM) that builds upon the switching threshold strategy, in which an inverse cotangent function is designed to replace the residual term of the ETM,is proposed to gradually release the controller's dependence on the residual term with increasing time. Furthermore, a tan-type nonlinear mapping technique is applied to tackle the time-varying full-state constraints problem. By the predefined-time stability theory, all signals in the uncertain nonlinear systems exhibit predefined-time stability. Finally, the feasibility of the proposed algorithm is substantiated through two simulation results.
基金supported by the State Grid Corporation of China Headquarters Science and Technology Project under Grant No.5400-202122573A-0-5-SF。
摘要The system performance of grid-connected photovoltaic(PV)has a serious impact on the grid stability.To improve the control performance and shorten the convergence time,a predefined-time controller based on backstepping technology and dynamic surface control is formulated for the inverter in the grid-connected photovoltaic.The time-varying tuning functions are introduced into state-tracking errors to realize the predefined-time control effect.To address the“computational explosion problem”in the design process of backstepping control,dynamic surface control is adopted to avoid the analytical calculations of virtual control.The disturbances of the PV system are estimated and compensated by adaptive laws.The control parameters are chosen and the global stability of the closed-loop is ensured by Lyapunov conditions.Simulation results confirm the effectiveness of the proposed controller and ensure the predefined time control in the photovoltaic inverter.
基金supported by the National Natural Science Foundation of China(No.12372045)the National Key Research and the Development Program of China(Nos.2023YFC2205900,2023YFC2205901)。
摘要This paper solves the problem of model-free dual-arm space robot maneuvering after non-cooperative target capture under high control quality requirements.The explicit system model is unavailable,and the maneuvering mission is disturbed by the measurement noise and the target adversarial behavior.To address these problems,a model-free Combined Adaptive-length Datadriven Predictive Controller(CADPC)is proposed.It consists of a separated subsystem identification method and a combined predictive control strategy.The subsystem identification method is composed of an adaptive data length,thereby reducing sensitivity to undetermined measurement noises and disturbances.Based on the subsystem identification,the combined predictive controller is established,reducing calculating resource.The stability of the CADPC is rigorously proven using the Input-to-State Stable(ISS)theorem and the small-gain theorem.Simulations demonstrate that CADPC effectively handles the model-free space robot post operation in the presence of significant disturbances,state measurement noise,and control input errors.It achieves improved steady-state accuracy,reduced steady-state control consumption,and minimized control input chattering.
基金supported in part by the National Key Research and Development Program of China(2022ZD0119601)the National Natural Science Foundation of China(52188102,62225306,and U2141235)the Guangdong Basic and Applied Research Foundation(2022B1515120069)。
摘要This study establishes a high-speed nano-positioning stage composed of a symmetrically driven structure with multiple parallel-bonded thin piezoelectric ceramic layers capable of performing micro-or nanoscale manipulations.Accordingly,a neural-network-based switching output regulation controller(NNSORC)was developed to compensate for the associated hysteresis nonlinearity.To address the challenges of slow floating-point computation speeds and low compilation efficiency,a closed-loop control system with a field-programmable gate array–central processing unit(FPGA–CPU)dual-layer data-processing framework was developed.A feedback linearization method was designed to linearize the hysteresis nonlinearity of the framework,resulting in a switching-tracking error system.With the assistance of Lyapunov theory and an average dwell time technique,sufficient conditions were derived to ensure the asymptotic stability of the NN-SORC governing closed-loop system using the switching reference signals often encountered in realistic micro-ano-scale detection and manufacturing processes.Finally,extensive comparative experiments were conducted to verify the effectiveness and superiority of the proposed NN-SORC scheme.
基金supported by the National Natural Science Foundation of China(62373162,U24A20268,624B2055).
摘要Dear Editor,This letter presents a solution to the problem of seeking Nash equilibrium(NE)in a class of non-cooperative games of multi-agent systems(MASs)subject to the input disturbance and the networked communication.To this end,a novel distributed robust predefined-time algorithm is proposed,which ensures the precise convergence of agent states to the NE within a settling time that can be directly determined by adjusting one or more parameters.The proposed algorithm employs an integral sliding mode strategy to effectively reject disturbances.Additionally,a consensus-based estimator is designed to overcome the challenge of limited information availability,where each agent can only access information from its directly connected neighbors,which conflicts with the computation of the cost function that requires information from all agents.Finally,a numerical example is provided to demonstrate the algorithm's effectiveness and performance.
摘要Steady speed control of agricultural machinery can improve operating quality and efficiency.To address the impact of farmland slope variations on the speed stability of unmanned operation agricultural machinery,a hybrid control method was proposed.This method included a hybrid controller composed of a slope-based controller and a proportional-integral-derivative(PID)controller.The speed of agricultural machinery was influenced by longitudinal forces,which were divided into two parts:one part was slope-related forces and conventional resistance,and the other was hard-to-estimate forces,such as sliding friction.For the first part,a slope-based controller was designed;for the second part,a PID controller was implemented.By combining these two controllers,the system can dynamically adjust the throttle opening and the brake master cylinder pressure,ensuring steady speed travel on sloping farmland.Simulation tests at a target speed of 7 km/h demonstrated that the proposed controller maintained a stable speed,achieving a root mean square error of 0.13 km/h and a mean absolute percentage error of 1.6%.Field tests on a practical experimental platform validated the method’s effectiveness,with results showing consistent control performance across varying slope conditions.The proposed controller demonstrated superior control performance.Experimental data verified that this method can achieve precise control of the agricultural machinery’s movement speed,meeting the stability requirements for agricultural operations.
摘要The increasing interconnection of modern industrial control systems(ICSs)with the Internet has enhanced operational efficiency,but alsomade these systemsmore vulnerable to cyberattacks.This heightened exposure has driven a growing need for robust ICS security measures.Among the key defences,intrusion detection technology is critical in identifying threats to ICS networks.This paper provides an overview of the distinctive characteristics of ICS network security,highlighting standard attack methods.It then examines various intrusion detection methods,including those based on misuse detection,anomaly detection,machine learning,and specialised requirements.This paper concludes by exploring future directions for developing intrusion detection systems to advance research and ensure the continued security and reliability of ICS operations.
基金supported by the National Key Research and Development Program of China(2023YFD2301300 and 2022YFD2301404-4)the Sanya Yazhou Bay Science and Technology City Project,China(SKJC-2023-02-004)。
摘要Single-time fertilization(STF)with controlled release blended fertilizer(CRBF)improves grain yield and nitrogen use efficiency(NUE)in rice production.However,the impact of soil nitrogen(N)distribution and root growth on rice yield and NUE under STF with CRBF remains unclear.Here,a two-year field experiment investigated the effects of two fertilizer types(normal urea(U)and CRBF)and two single-time fertilization methods(broadcast and side-deep fertilization)on the soil N distribution,plant N uptake,root characteristics,grain yield,and NUE.The results showed that CRBF under STF increased the averages of plant dry matter accumulation,N uptake,grain yield,nitrogen recovery efficiency(NRE),and nitrogen agronomic efficiency(NAE)by 8.29,21.85,10.57,79.28,and 74.8%compared to the other treatments,respectively.Side-deep fertilization with CRBF further increased NUE by 12.78%compared to broadcast.Moreover,CRBF under STF increased the leaf SPAD value and glutamine synthetase(GS)/glutamine oxoglutarate aminotransferase(GOGAT)activity by 5.93 and 25.58%,respectively.CRBF under STF increased the soil inorganic N concentration and showed a“rising early and stabilizing later”pattern.In addition,CRBF under STF improved rice root growth and increased the averages of root biomass,total root number,root average diameter,total root length,total root surface area,and total root volume by 28.30,28.56,18.64,13.38,35.26,and 37.06%,respectively,at the tillering and heading stages.Partial least squares path modeling indicated that CRBF under STF increased the soil inorganic N concentration which improved root morphology,thereby increasing N uptake and improving the rice yield and NUE.Taken together,our findings show that CRBF with single-time fertilization is the preferred N fertilizer strategy for achieving high yield and efficiency in rice,and that side-deep fertilization is the optimal fertilization method.
基金supported by the National Natural Science Foundation of China(Nos.22376197,U2441225,22076188).
摘要The demand for 238Pu (nuclear battery heat source) drives the separation of its precursor,237Np,from spent nuclear fuel (SNF).However,the co-existence of multi-valence states (Ⅳ/Ⅴ/Ⅵ) of Np and similar redox behavior with Pu(Ⅳ) hinder the effective separation of Np.N-Butyraldehyde (n-C3H7CHO) selectively reduces Np(Ⅵ) to Np(Ⅴ) without reducing Pu(Ⅳ).Herein,we examined the reduction mechanisms of Np(Ⅵ) and Pu(Ⅳ) by n-C3H7CHO using relativistic density functional theory.Based on the results of the potential energy profiles,the reductions of both Np(Ⅵ) and Pu(Ⅳ) by n-C3H7CHO are thermodynamically feasible,whereas only the former is kinetically achievable.It uncovers that n-C3H7CHO can only reduce Np(Ⅵ) to Np(Ⅴ) owing to kinetically controlled selective reduction.The analyses of spin density and bond distance indicate that the reduction nature for the first Np(Ⅵ)/Pu(Ⅳ) belongs to hydrogen atom transfer,whereas that for the second one involves outer-sphere electron transfer.Localized molecular orbitals (LMOs) analysis discloses the bonding evolution during the reduction process of Np(Ⅵ)/Pu(Ⅳ).This study elucidates the reason behind the kinetically controlled selective reduction of Np(Ⅵ)/Pu(Ⅳ) by nC3H7CHO at the molecular level and offers in-depth perspectives on the isolation of specific metal ions from the view of kinetic control.
摘要Fluidic Thrust Vectoring(FTV)is used for the yaw attitude control of tailless flying wing,which can significantly improve stealth performance,maneuverability and lateral/heading maneuverability.The FTV control scheme of co-directional secondary flow was designed based on a 30 kgf thrust turbojet engine,an equivalent rudder deflection control variable of Mass Flow Combination(MFC)was proposed,and a control model was established to form a FTV control system scheme,which was integrated with the flight control system of a 100 kg tailless flying wing with medium aspect ratio to achieve closed-loop control of the yaw attitude based on FTV.The heading stability augmentation and maneuvering control characteristics and time response characteristics of tailless flying wing by FTV were quantitatively studied through virtual flight test in a wind tunnel at a wind speed of 35 m/s.The results show that the control strategy based on MFC achieves bidirectional continuous and stable control of thrust vector angle in a range of±11°,and the thrust vector angle varies monotonically with MFC;the co-directional FTV realizes bidirectional continuous and stable control of the yaw attitude of tailless flying wing,without longitudinal/lateral coupling moment.The increment of the maximum yawing moment coefficient is 0.0029,the maximum yaw rate is 7.55(°)/s,and the response time of the yaw rate of the vectoring nozzle actuated by the secondary flow is about 0.06 s,which satisfies the heading stability augmentation and maneuvering control response requirements of the aircraft with statically unstable heading,and provides new control means for the heading rudderless attitude control of tailless flying wing.
基金supported in part by the National Natural Science Foundation of China(62236005,61936004)。
摘要Dear Editor,This letter concerns the design of sliding mode control(SMC)for semi-Markov switching systems with time-varying transmission and impulse delay.The difficulties of this problem are:1)Time-varying transmission and impulse delay bring more nonlinear dynamic characteristics and lag effects;2)Semi-Markov mode switching introduces uncertainty;3)The reachable stage and sliding stage are affected by two types of impulses in the system,which increases the complexity of theoretical derivation.