期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到71,283篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
A self-learning refined model and tracking for near space hypersonic vehicle by space-based radar 认领 引用 被引量：1
1
作者 Yue XU Quan PAN +2 位作者 Zengfu WANG Hua LAN Shuling JIN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期504-529,共26页
The Near Space Hypersonic Vehicle(NSHV)features a unique design and propulsion system,achieving exceptional speed,range,and maneuverability,which challenge ground-based radars.Space-Based Radar(SBR)offers a breakthrou... The Near Space Hypersonic Vehicle(NSHV)features a unique design and propulsion system,achieving exceptional speed,range,and maneuverability,which challenge ground-based radars.Space-Based Radar(SBR)offers a breakthrough for tracking NSHV targets,with allweather operation and freedom from Earth's curvature,but faces complex coordinate transformations.Traditional models often overlook the NSHV's dynamic gliding trajectory,especially the impact of hidden control variables on maneuvering,causing mismatches during rapid motion changes.This paper proposes a refined tracking model unified in the ECEF coordinate frame,incorporating model parameters that implicitly encode control laws,and presents an ExpectationMaximization Multi-swarm Cooperative Particle Swarm Optimization(EM-MCPSO)framework for both NSHV tracking and model parameter estimation to address this problem.To minimize conversion errors,a transformation matrix directly represented by the state in the EarthCentered Earth-Fixed(ECEF)coordinate is derived.Then the hybrid aerodynamic acceleration coefficients are introduced to precisely describe the dynamic behaviors,formulating target tracking as a joint estimation problem of state and parameters within EM framework.Finally,a self-learning algorithm based on a master–slave structured PSO is proposed to solve the optimization of the conditional expectations of EM under strong nonlinearity,with a Proportional-Derivative(PD)controller accelerating convergence,and updating the population structure with historical data.Simulations of vertical gliding and horizontal maneuvers validate the algorithm's effectiveness. 展开更多
关键词 Dynamics modeling Expectation Maximization(EM) Maneuvering target tracking Near Space Hypersonic Vehicle(NSHV) Particle Swarm Optimization(PSO)
暂未订购 下载PDF
Joint multi-dimensional resource scheduling for cooperative tracking of multiple LEO targets via space-based radar networks 认领 引用
2
作者 Qingwei YANG Libing JIANG +2 位作者 Shuyu ZHENG Yingjian ZHAO Zhuang WANG 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期449-466,共18页
Appropriate resource scheduling is the key to achieving the best performance of Low Earth-Orbit(LEO)Multi-Target Tracking(MTT)for the Space-based Radar Networks(SBRN)system.The high-velocity nature of satellites impos... Appropriate resource scheduling is the key to achieving the best performance of Low Earth-Orbit(LEO)Multi-Target Tracking(MTT)for the Space-based Radar Networks(SBRN)system.The high-velocity nature of satellites imposes high demands on the convergence rate of filtering and tracking accuracy while escalating the complexity of dynamic scheduling.To address these challenges,this paper utilizes Two-Line Elements(TLE)information to fully exploit the limited power-aperture resource of space-based Colocated Multiple-Input Multiple-Output(C-MIMO)radar and constructs a Walker constellation SBRN system.On this basis,a cognitive distributed cooperative tracking framework with fusion feedback mechanism is proposed.Each node can serve as the fusion center,achieving optimal fusion through the Fast Covariance Intersection(FCI)criterion while reducing the communication requirements.The global outcomes are fed back to all local nodes which can hasten the convergence rate of target state estimation.To maximize the global MTT performance,a closed-loop Joint Multi-Dimensional Resource Scheduling(JMDRS)strategy that considers multi-coverage conditions and visible windows is established.Moreover,the Posterior Cramer-Rao Lower Bound under Global Fusion Feedback(GF-PCRLB)is derived to provide a quantifiable metric for the overall performance.Finally,a fast suboptimal solution to the nonconvex model is proposed based on cross-iterative dimension reduction and variable decoupling.It introduces the tracking Efficiency-to-Cost Ratio(ECR)to jointly decide the beam pointing as well as the transmit power and fusion weight of each beam.Numerical results demonstrate that the proposed method significantly outperforms the existing approaches in enhancing the MTT performance of the SBRN system. 展开更多
关键词 Dynamic resource allocation Moving platform cooperative tracking Multi-Target Tracking(MTT) Space-based Radar Networks(SBRN) Task management
暂未订购 下载PDF
FishTracker:An Efficient Multi-Object Tracking Algorithm for Fish Monitoring in a RAS Environment 认领 引用
3
作者 Yuqiang Wu Zhao Ji +4 位作者 Guanqi You Zihan Zhang Chaoping Lu Huanliang Xu Zhaoyu Zhai 《Computers, Materials & Continua》 SCIE EI 2026年第2期805-826,共22页
Understanding fish movement trajectories in aquaculture is essential for practical applications,such as disease warning,feeding optimization,and breeding management.These trajectories reveal key information about the ... Understanding fish movement trajectories in aquaculture is essential for practical applications,such as disease warning,feeding optimization,and breeding management.These trajectories reveal key information about the fish’s behavior,health,and environmental adaptability.However,when multi-object tracking(MOT)algorithms are applied to the high-density aquaculture environment,occlusion and overlapping among fish may result in missed detections,false detections,and identity switching problems,which limit the tracking accuracy.To address these issues,this paper proposes FishTracker,a MOT algorithm,by utilizing a Tracking-by-Detection framework.First,the neck part of the YOLOv8 model is enhanced by introducing a Multi-Scale Dilated Attention(MSDA)module to improve object localization and classification confidence.Second,an Adaptive Kalman Filter(AKF)is employed in the tracking phase to dynamically adjust motion prediction parameters,thereby overcoming target adhesion and nonlinear motion in complex scenarios.Experimental results show that FishTracker achieves a multi-object tracking accuracy(MOTA)of 93.22% and 87.24% in bright and dark illumination conditions,respectively.Further validation in a real aquaculture scenario reveal that FishTracker achieves aMOTA of 76.70%,which is 5.34% higher than the baselinemodel.The higher order tracking accuracy(HOTA)reaches 50.5%,which is 3.4% higher than the benchmark.In conclusion,FishTracker can provide reliable technical support for accurate tracking and behavioral analysis of high-density fish populations. 展开更多
关键词 Aquaculture multi-object tracking YOLOv8 adaptive Kalman filter attention mechanism
暂未订购 下载PDF
Robust 3D object tracking with X-Triplet markers:A machine learning-based approach 认领 引用
4
作者 Cai Meng Yue Zeng +2 位作者 Hongbin Shen Xinliang Deng Diansheng Chen 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期145-154,共10页
Object tracking in 3D space is a classical problem in computer vision.In this paper,an efficient and robust X-Triplet detection method is proposed based on the support vector machine(SVM) and an adjacent matrix for lo... Object tracking in 3D space is a classical problem in computer vision.In this paper,an efficient and robust X-Triplet detection method is proposed based on the support vector machine(SVM) and an adjacent matrix for locating and tracking objects through stereo vision with minimal feature points.The X-Triplet,denoted as Tri-X,is a composite marker consisting of three sequential X-corners.The definition and types of Tri-X markers are introduced at first.Then a fast and robust X-corner detector based on the block search strategy and SVM is proposed to extract X-corner candidates with sub-pixel locations and orientations.Thereafter the X-corner adjacent matrix(XAM) is constructed using the orientation angle error to describe the possibility that any X-corner pair form a valid edge vector.The Tri-X candidates are then extracted efficiently from the XAM.Finally once the Tri-X markers are detected in binocular images,their 6D pose information can be recovered through stereo matching and triangulation technique.When multiple targets are involved simultaneously,different Tri-X markers can be utilized to identify different objects.Experimental results show that the proposed method outperformed the state-of-the-art in terms of both accuracy and efficiency for Tri-X marker detection.In localization precision test,it achieved 0.1 mm error for the position and 1° error for the orientation.Our method exhibits great potential for utilization in user-defined specific tracking tasks,offering flexibility and adaptability to various tracking requirements,especially multi-tool tracking in medical robotics. 展开更多
关键词 Object tracking Localization Tri-X composite marker Support vector machine X-corner adjacent matrix
暂未订购 下载PDF
Robust nonlinear MPC for tracking piece-wise constant reference signals 认领 引用
5
作者 Huahui Xie Li Dai +2 位作者 Zhongqi Sun Di-Hua Zhai Yuanqing Xia 《Control Theory and Technology》 EI CSCD 2026年第2期230-239,共10页
This work provides a robust model predictive control framework tailored for tracking piece-wise constant reference signals for nonlinear dynamics subject to additive disturbances.The approach integrates setpoint optim... This work provides a robust model predictive control framework tailored for tracking piece-wise constant reference signals for nonlinear dynamics subject to additive disturbances.The approach integrates setpoint optimization and robust constraint satisfaction into a unified optimization problem,guaranteeing the robust stability within a vicinity of an optimal admissible setpoint.A crucial feature of the approach is its ability to preserve recursive feasibility despite abrupt variations in the target.An offline implementation based on set-valued system representations is also discussed.Numerical examples demonstrate the effectiveness of the controller. 展开更多
关键词 Nonlinear model predictive control Setpoint tracking Robust control
Innovation-driven disturbance rejection enhancement for robust AUV path tracking 认领 引用
6
作者 Wanping Song Mingwei Sun +3 位作者 Zengqiang Chen Qinglin Sun Mikulas Huba Pavol Bistak 《Control Theory and Technology》 EI CSCD 2026年第2期214-229,共16页
Unknown external disturbances and hydrodynamic uncertainties pose significant challenges to accurate path tracking of autonomous underwater vehicles(AUVs).To address this problem,a guidance law ensuring trajectory con... Unknown external disturbances and hydrodynamic uncertainties pose significant challenges to accurate path tracking of autonomous underwater vehicles(AUVs).To address this problem,a guidance law ensuring trajectory convergence is proposed by incorporating position error and AUV dynamics.A deviation compensation disturbance rejection(DCDR)controller is developed by introducing an independent tunable gain to decouple disturbance rejection from state observer dynamics,thereby enabling separate design and coordination of nominal control and robust enhancement.The transfer function-based DCDR implementation is derived to demonstrate a systematic parameter tuning guideline,and the closed-loop stability is established through invariant set analysis.The effectiveness of the proposed method is validated through straight and circular path tracking simulations with and without wave-induced external disturbances.By maintaining an explicit control structure,the proposed DCDR can achieve improved tracking performance and reduced control effort compared with the linear active disturbance rejection control(LADRC)and the compensation function observer-based controller(CFO-C). 展开更多
关键词 Autonomous underwater vehicles Path tracking Active disturbance rejection control Compensation function observer
A unified framework for small object analysis in UAV imagery:Tracking single target from multiple detected targets 认领 引用
7
作者 Yanfang LIU Jiayu SHE +4 位作者 Yituo SONG Zhufei LIU Huarui XU Qiufan YUAN Naiming QI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期431-450,共20页
A framework for visual small target detection and tracking is introduced,leveraging Unmanned Aerial Vehicle(UAV)Remote Sensing Images(RSIs).The proposed Cropped Target Detection and Tracking(CTDT)framework comprises t... A framework for visual small target detection and tracking is introduced,leveraging Unmanned Aerial Vehicle(UAV)Remote Sensing Images(RSIs).The proposed Cropped Target Detection and Tracking(CTDT)framework comprises two integral stages:the detection stage and the tracking stage.During the detection stage,all targets can be identified from RSIs,providing a basis for the subsequent single-object tracking stage.Both stages are based on a cropping and random sampling strategy:the RSI is cropped into Small-Sized Images(SSIs),from which a random batch is constantly selected without repetition and fed into a network to locate the target until the target is discovered or all SSIs are used.This strategy improves the efficiency of detection and tracking.After cropping,the target may appear in multiple SSIs,and the target in each SSI may be incomplete.A Cropped Target Feature Extraction(CTFE)network is designed to detect and track the target by leveraging the information from small and incomplete targets in SSIs.CTFE achieves high precision and meets real-time requirements.The performance analysis of the detection network is also conducted in detail,and the results are instrumental in informing the design of the tracking network.By utilizing three UAV RSI datasets(UAVDT,UAV123,and DTB70),CTDT is compared to numerous state-of-the-art mainstream methods,such as PVT++,SiamBAN,SmallTrack,SiamAPN++,SiamIRCA,SiamFC,and CSK,to confirm its superiority and real-time performance.The results affirm that the proposed framework exhibits outstanding performance and adaptability to fast-moving targets,target loss,and camera failures,and holds promise for realtime applications.Additionally,real-world tests on a typical UAV platform demonstrate excellent performance and efficiency in a variety of UAV-specific tasks,as well as transferability for new missions. 展开更多
关键词 Convolutional neural networks Real-time application Remote sensing image Small target detection Small target tracking
暂未订购 下载PDF
Robust Multi-Object Fish Tracking in Dynamic Aquatic Environments via Attention-Enhanced YOLOv8 and LSTM-Based Trajectory Prediction 认领 引用
8
作者 Feng-Cheng Lin Bo-Chiao Jan Hui-An Wu 《Computers, Materials & Continua》 SCIE EI 2026年第7期1577-1600,共24页
With the increasing refinement of ornamental fish culture,understanding fish behavioral patterns has become critical.Fish movements not only reflect daily activity ranges but also reveal responses to environmental cha... With the increasing refinement of ornamental fish culture,understanding fish behavioral patterns has become critical.Fish movements not only reflect daily activity ranges but also reveal responses to environmental changes such as water currents and obstacles.However,traditional manual observation is limited by manpower and time,making it difficult to record fish behaviors over long periods stably.Existing automated tracking techniques often suffer from ID switches and track interruptions caused by rapid fish movement,occlusions,or intermingling,which in turn degrade the reliability of subsequent analyses.This paper proposes a deep learning-based multi-object fish tracking system that integrates YOLOv8n for object detection and employs an IoU matching criterion to associate detections across consecutive frames,thereby maintaining object ID continuity.To further reduce ID loss under rapid motion and partial occlusion,a multiple-LSTM prediction model is introduced as a temporal compensation mechanism,thereby improving timing stability and track continuity.Moreover,considering disturbances in the experimental field(e.g.,water disturbance and water current interference)that can blur fish body edges and fine details,an attention-enhanced detector,YOLOv8-CS(Convolutional Block Attention Module and Squeeze-and-Excitation),is developed by embedding CBAM and SE modules into the YOLOv8 architecture to enhance detection accuracy in dynamic waters.Experimental results demonstrate that the proposed system effectively increases the Multiple Object Tracking Accuracy(MOTA)to 77.23%and significantly reduces ID switches to 42.5,ensuring more robust and continuous trajectory tracking compared to benchmark methods.This system provides a highly reliable tool for automated behavior analysis in complex and dynamic aquatic environments. 展开更多
关键词 LSTM trajectory prediction multi-object tracking YOLOv8-CS attention mechanism
暂未订购 下载PDF
Triggering and control codesign in robust self-triggered DMPC for trajectory tracking control of multi-USV system 认领 引用
9
作者 Qifan Yang Huiping Li 《Control Theory and Technology》 EI CSCD 2026年第2期240-249,共10页
This paper considers the tracking problem of a fleet of unmanned surface vehicles(USVs)subject to low state feedback frequencies,disturbances,and communication delays.Influenced by the high computational complexity of... This paper considers the tracking problem of a fleet of unmanned surface vehicles(USVs)subject to low state feedback frequencies,disturbances,and communication delays.Influenced by the high computational complexity of localization algorithms,the low-frequency state feedback brings challenges in fulfilling the high-frequency control requirement for USVs.Therefore,a novel self-triggered distributed model predictive control(ST-DMPC)approach,with a codesign dual-model control strategy,is proposed.By simultaneously optimizing control inputs and triggering intervals,this approach achieves expected control performance comparable to high-frequency control under low state feedback frequencies.Furthermore,sufficient conditions for ensuring recursive feasibility and closed-loop system stability are derived.Finally,a numerical experiment and comparison study are conducted to demonstrate the efficacy of the proposed approach. 展开更多
关键词 Distributed model predictive control Self-triggered control USVs Trajectory tracking
Investigation of hydrate inhibitor tracking in oil-gas-water multiphase flow pipelines 认领 引用
10
作者 Shang-Fei Song Jia-Hao Yu +7 位作者 Yan-Bo Li Hao-Qi Chen Da-Qian Liu Xiang-Ying Shan Hai-Hong Chen Hai-Yuan Yao Bo-Hui Shi Jing Gong 《Petroleum Science》 SCIE EI CAS CSCD 2026年第6期3616-3633,共18页
As oil and gas exploration progressively moves into deepwater regions,flow assurance in multiphase transport pipelines has become a critical issue.The complex conditions in deepwater environments often lead to the for... As oil and gas exploration progressively moves into deepwater regions,flow assurance in multiphase transport pipelines has become a critical issue.The complex conditions in deepwater environments often lead to the formation of hydrates,which can block pipelines.Therefore,the injection of hydrate inhibitors has become a common practice.In engineering practice,conservative dosing rates are typically adopted to ensure safety margins,but this often leads to a significant increase in costs.This paper presents a steady-state computational model to determine the distribution of inhibitors along the pipeline.The innovation lies in combining multiphase flash calculations with pipeline flow modeling,offering high accuracy and a wide range of applicability.This model is designed with modular flexibility,allowing substitution of different steady-state flow models and thermodynamic models,thereby extending its adaptability to diverse engineering scenarios.The computational results are compared with those from OLGA(a commercial software for multiphase flow simulation),and the results demonstrate that the proposed method achieves high accuracy,indicating that it can serve as a reference for optimizing inhibitor dosage. 展开更多
关键词 Hydrate inhibitor tracking Multiphase pipeline Multiphase flash calculation Hydraulic calculation Thermal calculation
暂未订购 下载PDF
Nonlinear model predictive control strategy for vehicle path tracking with steering actuator’s dynamic characteristics 认领 引用
11
作者 Bin Wang Zhiguo Zhao +1 位作者 Xiwen Yuan Yuyi Wang 《Control Theory and Technology》 EI CSCD 2026年第3期359-373,共15页
The dynamic characteristics of the steering actuator,including response time-delay and calibration deviation,are crucial to a vehicle’s path tracking performance.This study proposes a novel vehicle path tracking cont... The dynamic characteristics of the steering actuator,including response time-delay and calibration deviation,are crucial to a vehicle’s path tracking performance.This study proposes a novel vehicle path tracking control strategy by combining nonlinear model predictive control(NMPC),time-delay model control,and calibration deviation compensation control.In the first stage,the path tracking NMPC strategy is designed without considering the steering actuator’s dynamic characteristics.In the second stage,by combining polynomial fitting with linear matrix inequality(LMI)techniques,a nonlinear time-delay model control algorithm is designed to address the response time-delay.In the third stage,based on the inverse model of the calibration deviation,a nonlinear compensation algorithm is designed for steering actuator’s calibration deviation.Finally,simulation and real vehicle experiment results are provided to illustrate the effectiveness of the proposed vehicle path tracking control strategy. 展开更多
关键词 Nonlinear model predictive control(NMPC) Path tracking Nonlinear time-delay model control Calibration deviation compensation control
Enhancing Underwater Monocular Depth Estimation with Lpg-Lap Unet for Target Tracking Mission 认领 引用
12
作者 YAO Peng WANG Yalu 《Journal of Ocean University of China》 SCIE CAS CSCD 2026年第1期161-170,共10页
Accurately estimating depth from underwater monocular images is essential for the target tracking task of unmanned underwater vehicles.This work proposes a method based on the Lpg-Lap Unet architecture.First,the Unet ... Accurately estimating depth from underwater monocular images is essential for the target tracking task of unmanned underwater vehicles.This work proposes a method based on the Lpg-Lap Unet architecture.First,the Unet architecture integrates Laplacian pyramid depth residuals and Sobel operators to improve the boundary details in depth images,which may suffer from the feature loss caused by upsampling and the blurriness of underwater images.Multiscale local planar guidance layers then fully exploit the intermediate depth features,and a comprehensive loss function ensures robustness and accuracy.Experimental results on benchmarks demonstrate the effectiveness of Lpg-Lap Unet and its superior performance over state-of-the-art models.An underwater target tracking system is then designed to further validate its real-time capabilities in the AirSim simulation platform. 展开更多
关键词 underwater monocular depth estimation Laplacian pyramid multiscale local planar guidance underwater target tracking
暂未订购 下载PDF
Robust Tracking Control of Automated Vehicles With Model Uncertainties:An Actor-Critic Learning Strategy 认领 引用
13
作者 Zhao-Qing Liu Hao Xie +1 位作者 Lei Ding Liping Han 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第7期1773-1775,共3页
Dear Editor,This letter is concerned with the robust tracking control problem of automated vehicles(AVs).First,the dynamics of an AV is constructed by taking into account model uncertainties.Then,to guarantee the succ... Dear Editor,This letter is concerned with the robust tracking control problem of automated vehicles(AVs).First,the dynamics of an AV is constructed by taking into account model uncertainties.Then,to guarantee the successful completion of tracking tasks,an actor-critic learning-based robust tracking control scheme is designed.At last,formal stability analysis and experiment results are provided to verify the tracking performance of the designed control scheme. 展开更多
关键词 automated vehicles avs firstthe actor critic learning stability analysis taking account model robust tracking control control scheme automated vehicles model uncertainties
暂未订购 下载PDF
Relative Motion Based Predictive Adaptive Control:A Case Study of AUV 3D Trajectory Tracking 认领 引用
14
作者 Daxiong Ji Xinwei Wang Yuanchang Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期492-494,共3页
Dear Editor,This letter deals with the autonomous underwater vehicle(AUV)three dimensional(3D)trajectory tracking control chronically suffering from poor accuracy and efficiency in complex hydrodynamics.A state-of-the... Dear Editor,This letter deals with the autonomous underwater vehicle(AUV)three dimensional(3D)trajectory tracking control chronically suffering from poor accuracy and efficiency in complex hydrodynamics.A state-of-the-art predictive adaptive controller(PAC)is proposed with a distinct dual closed-loop structure. 展开更多
关键词 adaptive controller pac autonomous underwater vehicle auv three predictive adaptive control relative motion D trajectory tracking hydrodynamics closed loop structure complex hydrodynamicsa
暂未订购 下载PDF
A new method for simultaneous measurement of flow velocity and temperature using phosphorescent particle tracking velocimetry 认领 引用 被引量：1
15
作者 Rong Tian Yang Xu +2 位作者 Yichen Zhu Yi Xu Jinjun Wang 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第3期574-587,共14页
This study combines particle tracking velocimetry and thermographic phosphor thermometry to develop a new method for simultaneously measuring the flow field velocity and temperature based on the decay lifetime of phos... This study combines particle tracking velocimetry and thermographic phosphor thermometry to develop a new method for simultaneously measuring the flow field velocity and temperature based on the decay lifetime of phosphor particles.In this method,phosphor particles are used as tracer particles.Velocity is measured by tracking the position of the phosphor particles,and temperature is determined by obtaining the decay lifetime from multi-frame tracking of the particles’luminescence information,achieving instantaneous and simultaneous measurements.This paper analyzes the influence of the intensity characteristics of the phosphor particles and the number of frames used in particle tracking on the temperature measurement precision.The findings indicate that using the mean intensity from a local window of the particle to calculate the temperature yields higher precision than the maximum intensity.Furthermore,increasing the number of frames used for particle tracking within a specified range enhances the precision of the temperature measurement.Calibration results over a temperature range of 20℃-180℃show that the uncertainty of the phosphorescence decay slope constant is 3.5%-4.4%,indicating high-precision temperature measurements.Finally,the proposed method is experimentally validated by capturing the instantaneous velocity and temperature field of a cold jet flow.Based on the simultaneous measurement results,the turbulent heat flux of the flow field is determined,revealing that the heat exchange is most intense near the jet shear layer.These results confirm the method’s feasibility and its potential in studying multi-physics complex flow problems. 展开更多
关键词 Simultaneous measurement of velocity and temperature Particle tracking velocimetry Thermographic phosphor thermometry Decay slope constant
暂未订购 下载PDF
Adaptive Fault-Tolerant Consensus Tracking Control for Nonlinear Multi-Agent Systems With Double Semi-Markovian Switching Topologies and Unknown Control Directions 认领 引用 被引量：1
16
作者 Chao Zhou Zehui Mao +1 位作者 Bin Jiang Xing-Gang Yan 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第2期463-476,共14页
This paper is concerned with adaptive consensus tracking control of nonlinear multi-agent systems with actuator faults and unknown nonidentical control directions under double semi-Markovian switching topologies.Consi... This paper is concerned with adaptive consensus tracking control of nonlinear multi-agent systems with actuator faults and unknown nonidentical control directions under double semi-Markovian switching topologies.Considering the complex working environment and the stability differences in communication links between leaders and followers,a double semi-Markov process is first introduced to describe the random switching of communication topologies in the leader-follower structure.In order to address challenges from the unknown nonidentical control directions and partial loss of effectiveness actuator faults,a completely independent parameter is introduced into the Nussbaum function to overcome the inherent obstacle of mutual cancellation and avoid the rapid growth rate.Considering only the state information of agents is transmitted among the agents,an adaptive distributed fault-tolerant consensus tracking control is proposed based on the double semi-Markovian switching topologies using the designed Nussbaum function.Furthermore,the stability of the closed-loop nonlinear multi-agent systems is analyzed using contradiction argument and Lyapunov theorem,from which the asymptotic consensus tracking in mean square sense can be obtained.A numerical simulation example is provided to verify the effectiveness of the proposed algorithm. 展开更多
关键词 Adaptive control consensus tracking double semi-Markovian switching topologies fault-tolerant control Nussbaum function unknown nonidentical control directions
暂未订购 下载PDF
Robust current tracking control for three-phase grid-connected inverters with LCL filter 认领 引用 被引量：1
17
作者 LIU Wei WU Ben +2 位作者 SUN Wei-jie XUE Ying CAI Feng-huang 《控制理论与应用》 EI CAS CSCD 北大核心 2026年第1期41-51,共11页
This article investigates the robust current tracking control problem of three-phase grid-connected inverters with LCL filter under external disturbance by a dynamic state feedback control method.First,this paper cons... This article investigates the robust current tracking control problem of three-phase grid-connected inverters with LCL filter under external disturbance by a dynamic state feedback control method.First,this paper constructs an internal model to learn the information of the states and input of the grid-connected inverter under steady state.Second,by utilizing the internal model principle,the paper turns the tracking control problem into the robust stabilization control problem based on some appropriate coordinate transformations.Then,The paper designs a dynamics state feedback control law to deal with this robust stabilization problem,and thus the solution of the robust current tracking control problem of three-phase grid-connected inverters can be obtained.This control method can ensure the asymptotic stability of the closedloop system.Finally,the paper illustrates the effectiveness of the proposed control approach through several groups of simulations,and compares it with the feedforward control method to verify the robustness of the proposed control method to uncertain parameters. 展开更多
关键词 grid-connected inverter internal model principle current tracking disturbance suppression robust control
暂未订购 下载PDF
联合SBAS-InSAR与Offset-Tracking技术的矿区三维形变监测 认领 引用
18
作者 季民 车可可 +2 位作者 张兆民 窦凤珂 马梦彤 《大地测量与地球动力学》 CSCD 北大核心 2026年第5期618-627,共10页
针对常规SBAS-InSAR方法形变监测维度不足,难以有效反映矿区地表三维形变的问题,在SBAS-InSAR技术的基础上,联合Offset-Tracking技术,构建一种融合升降轨SAR数据的三维形变解算方法。以硫磺沟煤矿为例,进行矿区地表三维形变解算实验,得... 针对常规SBAS-InSAR方法形变监测维度不足,难以有效反映矿区地表三维形变的问题,在SBAS-InSAR技术的基础上,联合Offset-Tracking技术,构建一种融合升降轨SAR数据的三维形变解算方法。以硫磺沟煤矿为例,进行矿区地表三维形变解算实验,得到三维形变反演结果,并对沉降量级、影响范围及空间分布进行系统分析。引入水准数据,将三维形变反演结果与传统升降轨SBAS-InSAR二维形变结果进行精度对比验证,分析三维分解方法相对于现有二维分解方法的优势,发现三维解算方法较二维方法更加贴合实际水准数据,反演精度更高。结果表明,构建的三维解算方法在一定程度上提高了SBAS-InSAR的监测精度,拓展了SBAS-InSAR技术的监测维度,为矿区地表形变监测提供了一种新型有效的技术参考。 展开更多
关键词 三维形变监测 矿区形变 SBAS-InSAR Offset-Tracking 硫磺沟煤矿
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈