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Robust recursive sigma point Kalman filtering for Huber-based generalized M-estimation 认领 引用 被引量：2
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作者 Shoupeng LI Panlong TAN +1 位作者 Weiwei LIU Naigang CUI 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第5期428-442,共15页
For nonlinear state estimation driven by non-Gaussian noise,the estimator is required to be updated iteratively.Since the iterative update approximates a linear process,it fails to capture the nonlinearity of observat... For nonlinear state estimation driven by non-Gaussian noise,the estimator is required to be updated iteratively.Since the iterative update approximates a linear process,it fails to capture the nonlinearity of observation models,and this further degrades filtering accuracy and consistency.Given the flaws of nonlinear iteration,this work incorporates a recursive strategy into generalized M-estimation rather than the iterative strategy.The proposed algorithm extends nonlinear recursion to nonlinear systems using the statistical linear regression method.The recursion allows for the gradual release of observation information and consequently enables the update to proceed along the nonlinear direction.Considering the correlated state and observation noise induced by recursions,a separately reweighting strategy is adopted to build a robust nonlinear system.Analogous to the nonlinear recursion,a robust nonlinear recursive update strategy is proposed,where the associated covariances and the observation noise statistics are updated recursively to ensure the consistency of observation noise statistics,thereby completing the nonlinear solution of the robust system.Compared with the iterative update strategies under non-Gaussian observation noise,the recursive update strategy can facilitate the estimator to achieve higher filtering accuracy,stronger robustness,and better consistency.Therefore,the proposed strategy is more suitable for the robust nonlinear filtering framework. 展开更多
关键词 Recursive methods Iterative methods Generalized M-estimation Huber loss Robustness non-Gaussian distribution Spacecraft relative navigation
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Aeromagnetic Compensation Method Based on Recursive Least Square and Elastic Weight Consolidation 认领 引用 被引量：1
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作者 Ma Xiao-Yu Zhang Jin-Sheng +2 位作者 Liao Shou-Yi Li Ting Li Ze-Hao 《Applied Geophysics》 SCIE CSCD 2025年第2期279-290,555,共12页
Aeromagnetic compensation is one of the key issues in high-precision geomagnetic fl ight carrier navigation, directly determining the accuracy and reliability of real-time magnetic measurement data. The accurate model... Aeromagnetic compensation is one of the key issues in high-precision geomagnetic fl ight carrier navigation, directly determining the accuracy and reliability of real-time magnetic measurement data. The accurate modeling and compensation of interference magnetic measurements on carriers are of great signifi cance for the construction of reference and real-time maps for geomagnetic navigation. Current research on aeromagnetic compensation algorithms mainly focuses on accurately modeling interference magnetic fields from model- and data-driven perspectives based on measured aeromagnetic data. Challenges in obtaining aeromagnetic data and low information complexity adversely aff ect the generalization performance of a constructed model. To address these issues, a recursive least square algorithm based on elastic weight consolidation is proposed, which eff ectively suppresses the occurrence of catastrophic forgetting by controlling the direction of parameter updates. Experimental verifi cation with publicly available aeromagnetic datasets shows that the proposed algorithm can eff ectively circumvent historical information loss caused by interference magnetic field models during parameter updates and improve the stability, robustness, and accuracy of interference magnetic fi eld models. 展开更多
关键词 Geomagnetic navigation Aeromagnetic interference compensation Recursive least squares Elastic weight consolidation
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A Recursive Method to Encryption-Decryption-Based Distributed Set-Membership Filtering for Time-Varying Saturated Systems Over Sensor Networks 认领 引用
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作者 Jun Hu Jiaxing Li +2 位作者 Chaoqing Jia Xiaojian Yi Hongjian Liu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2025年第5期1047-1049,共3页
Dear Editor,This letter deals with the distributed recursive set-membership filtering(DRSMF)issue for state-saturated systems under encryption-decryption mechanism.To guarantee the data security,the encryption-decrypt... Dear Editor,This letter deals with the distributed recursive set-membership filtering(DRSMF)issue for state-saturated systems under encryption-decryption mechanism.To guarantee the data security,the encryption-decryption mechanism is considered in the signal transmission process.Specifically,a novel DRSMF scheme is developed such that,for both state saturation and encryption-decryption mechanism,the filtering error(FE)is limited to the ellipsoid domain.Then,the filtering error constraint matrix(FECM)is computed and a desirable filter gain is derived by minimizing the FECM.Besides,the bound-edness evaluation of the FECM is provided. 展开更多
关键词 time varying saturated systems signal transmission processspecificallya encryption decryption mechanism sensor networks recursive method distributed set membership filtering
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Telecontext-Enhanced Recursive Interactive Attention Fusion Method for Line-Level Defect Prediction 认领 引用
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作者 Haitao He Bingjian Yan +1 位作者 Ke Xu Lu Yu 《Computers, Materials & Continua》 SCIE EI 2025年第2期2077-2108,共32页
Software defect prediction aims to use measurement data of code and historical defects to predict potential problems,optimize testing resources and defect management.However,current methods face challenges:(1)Coarse-g... Software defect prediction aims to use measurement data of code and historical defects to predict potential problems,optimize testing resources and defect management.However,current methods face challenges:(1)Coarse-grained file level detection cannot accurately locate specific defects.(2)Fine-grained line-level defect prediction methods rely solely on local information of a single line of code,failing to deeply analyze the semantic context of the code line and ignoring the heuristic impact of line-level context on the code line,making it difficult to capture the interaction between global and local information.Therefore,this paper proposes a telecontext-enhanced recursive interactive attention fusion method for line-level defect prediction(TRIA-LineDP).Firstly,using a bidirectional hierarchical attention network to extract semantic features and contextual information from the original code lines as the basis.Then,the extracted contextual information is forwarded to the telecontext capture module to aggregate the global context,thereby enhancing the understanding of broader code dynamics.Finally,a recursive interaction model is used to simulate the interaction between code lines and line-level context,passing information layer by layer to enhance local and global information exchange,thereby achieving accurate defect localization.Experimental results from within-project defect prediction(WPDP)and cross-project defect prediction(CPDP)conducted on nine different projects(encompassing a total of 32 versions)demonstrated that,within the same project,the proposed methods will respectively recall at top 20%of lines of code(Recall@Top20%LOC)and effort at top 20%recall(Effort@Top20%Recall)has increased by 11%–52%and 23%–77%.In different projects,improvements of 9%–60%and 18%–77%have been achieved,which are superior to existing advanced methods and have good detection performance. 展开更多
关键词 Line-level defect prediction telecontext capture recursive interactive structure hierarchical attention network
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A multi-scale high-order recursive filter approach for the sea ice concentration analysis 认领 引用 被引量：2
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作者 Lu Yang Dong Li +2 位作者 Xuefeng Zhang Hongli Fu Kexiu Liu 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2022年第2期103-115,共13页
With the development and deployment of observation systems in the ocean,more precise passive and active microwave data are becoming available for the weather forecasting and the climate monitoring.Due to the complicat... With the development and deployment of observation systems in the ocean,more precise passive and active microwave data are becoming available for the weather forecasting and the climate monitoring.Due to the complicated variability of the sea ice concentration(SIC)in the marginal ice zone and the scarcity of high-precision sea ice data,how to use less data to accurately reconstruct the sea ice field has become an urgent problem to be solved.A reconstruction method for gridding observations using the variational optimization technique,called the multi-scale high-order recursive filter(MHRF),which is a combination of Van Vliet fourth-order recursive filter and the three-dimensional variational(3D-VAR)analysis,has been designed in this study to reproduce the refined structure of sea ice field.Compared with the existing spatial multi-scale first-order recursive filter(SMRF)in which left and right filter iterative processes are executed many times,the MHRF scheme only executes the same filter process once to reduce the analysis errors caused by multiple filters and improve the filter precision.Furthermore,the series connected transfer function in the high-order recursive filter is equivalently replaced by the paralleled one,which can carry out the independent filter process in every direction in order to improve the filter efficiency.Experimental results demonstrate that this method possesses a good potential in extracting the observation information to successfully reconstruct the SIC field in computational efficiency. 展开更多
关键词 Van Vliet fourth-order recursive filter multi-scale recursive filter sea ice concentration
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A feature selection method combined with ridge regression and recursive feature elimination in quantitative analysis of laser induced breakdown spectroscopy 认领 引用 被引量：6
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作者 Guodong WANG Lanxiang SUN +3 位作者 Wei WANG Tong CHEN Meiting GUO Peng ZHANG 《Plasma Science and Technology》 SCIE EI CAS CSCD 2020年第7期11-20,共10页
In the spectral analysis of laser-induced breakdown spectroscopy,abundant characteristic spectral lines and severe interference information exist simultaneously in the original spectral data.Here,a feature selection m... In the spectral analysis of laser-induced breakdown spectroscopy,abundant characteristic spectral lines and severe interference information exist simultaneously in the original spectral data.Here,a feature selection method called recursive feature elimination based on ridge regression(Ridge-RFE)for the original spectral data is recommended to make full use of the valid information of spectra.In the Ridge-RFE method,the absolute value of the ridge regression coefficient was used as a criterion to screen spectral characteristic,the feature with the absolute value of minimum weight in the input subset features was removed by recursive feature elimination(RFE),and the selected features were used as inputs of the partial least squares regression(PLS)model.The Ridge-RFE method based PLS model was used to measure the Fe,Si,Mg,Cu,Zn and Mn for 51 aluminum alloy samples,and the results showed that the root mean square error of prediction decreased greatly compared to the PLS model with full spectrum as input.The overall results demonstrate that the Ridge-RFE method is more efficient to extract the redundant features,make PLS model for better quantitative analysis results and improve model generalization ability. 展开更多
关键词 laser-induced breakdown spectroscopy feature selection ridge regression recursive feature elimination quantitative analysis
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Recursive Least Square Vehicle Mass Estimation Based on Acceleration Partition 认领 引用 被引量：7
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作者 FENG Yuan XIONG Lu +1 位作者 YU Zhuoping QU Tong 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2014年第3期448-459,共12页
Vehicle mass is an important parameter in vehicle dynamics control systems. Although many algorithms have been developed for the estimation of mass, none of them have yet taken into account the different types of resi... Vehicle mass is an important parameter in vehicle dynamics control systems. Although many algorithms have been developed for the estimation of mass, none of them have yet taken into account the different types of resistance that occur under different conditions. This paper proposes a vehicle mass estimator. The estimator incorporates road gradient information in the longitudinal accelerometer signal, and it removes the road grade from the longitudinal dynamics of the vehicle. Then, two different recursive least square method （RLSM） schemes are proposed to estimate the driving resistance and the mass independently based on the acceleration partition under different conditions. A 6 DOF dynamic model of four In-wheel Motor Vehicle is built to assist in the design of the algorithm and in the setting of the parameters. The acceleration limits are determined to not only reduce the estimated error but also ensure enough data for the resistance estimation and mass estimation in some critical situations. The modification of the algorithm is also discussed to improve the result of the mass estimation. Experiment data on asphalt road, plastic runway, and gravel road and on sloping roads are used to validate the estimation algorithm. The adaptability of the algorithm is improved by using data collected under several critical operating conditions. The experimental results show the error of the estimation process to be within 2.6%, which indicates that the algorithm can estimate mass with great accuracy regardless of the road surface and gradient changes and that it may be valuable in engineering applications. This paper proposes a recursive least square vehicle mass estimation method based on acceleration partition. 展开更多
关键词 mass estimation recursive least square method acceleration partition
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FOUR-PARAMETER AUTOMATIC TRANSMISSION TECHNOLOGY FOR CONSTRUCTION VEHICLE BASED ON ELMAN RECURSIVE NEURAL NETWORK 认领 引用 被引量：6
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作者 ZHANG Hongyan ZHAO Dingxuan +1 位作者 TANG Xinxing Ding Chunfeng 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS 2008年第1期20-24,共5页
From the viewpoint of energy saving and improving transmission efficiency, the ZL50E wheel loader is taken as the study object. And the system model is analyzed based on the transmission system of the construction veh... From the viewpoint of energy saving and improving transmission efficiency, the ZL50E wheel loader is taken as the study object. And the system model is analyzed based on the transmission system of the construction vehicle. A new four-parameter shift schedule is presented, which can keep the torque converter working in the high efficiency area. The control algorithm based on the Elman recursive neural network is applied, and four-parameter control system is developed which is based on industrial computer. The system is used to collect data accurately and control 4D180 power-shift gearbox of ZL50E wheel loader shift timely. An experiment is done on automatic transmission test-bed, and the result indicates that the control system could reliably and safely work and improve the efficiency of hydraulic torque converter. Four-parameter shift strategy that takes into account the power consuming of the working pump has important operating significance and reflects the actual working status of construction vehicle. 展开更多
关键词 Construction vehicle Hydraulic transmission and control Automatic transmission Elman recursive neural network
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Recursive Partitioning Analysis Classification and Graded Prognostic Assessment for Non-Small Cell Lung Cancer Patients with Brain Metastasis:A Retrospective Cohort Study 认领 引用 被引量：4
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作者 Cai-xing Sun Tao Li +4 位作者 Xiao Zheng Ju-fen Cai Xu-li Meng Hong-jian Yang Zheng Wang 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2011年第3期177-182,共6页
Objective：To assess prognostic factors and validate the effectiveness of recursive partitioning analysis （RPA） classes and graded prognostic assessment （GPA） in 290 non-small cell lung cancer （NSCLC） patients w... Objective：To assess prognostic factors and validate the effectiveness of recursive partitioning analysis （RPA） classes and graded prognostic assessment （GPA） in 290 non-small cell lung cancer （NSCLC） patients with brain metastasis （BM）.Methods：From Jan 2008 to Dec 2009,the clinical data of 290 NSCLC cases with BM treated with multiple modalities including brain irradiation,systemic chemotherapy and tyrosine kinase inhibitors （TKIs） in two institutes were analyzed.Survival was estimated by Kaplan-Meier method.The differences of survival rates in subgroups were assayed using log-rank test.Multivariate Cox＇s regression method was used to analyze the impact of prognostic factors on survival.Two prognostic indexes models （RPA and GPA） were validated respectively.Results：All patients were followed up for 1-44 months,the median survival time after brain irradiation and its corresponding 95% confidence interval （95% CI） was 14 （12.3-15.8） months.1-,2-and 3-year survival rates in the whole group were 56.0%,28.3%,and 12.0%,respectively.The survival curves of subgroups,stratified by both RPA and GPA,were significantly different （P0.001）.In the multivariate analysis as RPA and GPA entered Cox＇s regression model,Karnofsky performance status （KPS） ≥ 70,adenocarcinoma subtype,longer administration of TKIs remained their prognostic significance,RPA classes and GPA also appeared in the prognostic model.Conclusion：KPS ≥70,adenocarcinoma subtype,longer treatment of molecular targeted drug,and RPA classes and GPA are the independent prognostic factors affecting the survival rates of NSCLC patients with BM. 展开更多
关键词 Non-small cell lung cancer （NSCLC） Brain metastasis Prognosis Recursive partitioning analysis Graded prognostic assessment
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Poststack reverse-time migration using a non-reflecting recursive algorithm on surface relief 认领 引用 被引量：5
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作者 Zhang Min Li Zhen-Chun +1 位作者 Zhang Hua Sun Xiao-Dong 《Applied Geophysics》 SCIE 2010年第3期239-248,293,共10页
Presently the research based on the accurate seismic imaging methods for surface relief,complex structure,and complicated velocity distributions is of great significance.Reverse-time migration is considered to be one ... Presently the research based on the accurate seismic imaging methods for surface relief,complex structure,and complicated velocity distributions is of great significance.Reverse-time migration is considered to be one of highly accurate methods.In this paper,we propose a new non-reflecting recursive algorithm for reverse-time migration by introducing the wave impedance function into the acoustic wave equation and the algorithm for the surface relief case is derived from the coordinate transformation principle.Using the exploding reflector principle and the zero-time imaging condition of poststack reverse-time migration,poststack numerical simulation and reverse-time migration with complex conditions can be realized.The results of synthetic and real data calculations show that the method effectively suppresses unwanted internal reflections and also deals with the seismic imaging problems resulting from surface relief.So,we prove that this method has strong adaptability and practicality. 展开更多
关键词 surface relief non-reflecting recursive algorithm wave impedance coordinate transformation numerical simulation reverse-time migration
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Accelerated Recursive Feature Elimination Based on Support Vector Machine for Key Variable Identification 认领 引用 被引量：5
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作者 毛勇 皮道映 +1 位作者 刘育明 孙优贤 《Chinese Journal of Chemical Engineering》 SCIE EI CAS 2006年第1期65-72,共8页
Key variable identification for classifications is related to many trouble-shooting problems in process indus-tries. Recursive feature elimination based on support vector machine (SVM-RFE) has been proposed recently i... Key variable identification for classifications is related to many trouble-shooting problems in process indus-tries. Recursive feature elimination based on support vector machine (SVM-RFE) has been proposed recently in applica-tion for feature selection in cancer diagnosis. In this paper, SVM-RFE is used to the key variable selection in fault diag-nosis, and an accelerated SVM-RFE procedure based on heuristic criterion is proposed. The data from Tennessee East-man process (TEP) simulator is used to evaluate the effectiveness of the key variable selection using accelerated SVM-RFE (A-SVM-RFE). A-SVM-RFE integrates computational rate and algorithm effectiveness into a consistent framework. It not only can correctly identify the key variables, but also has very good computational rate. In comparison with contribution charts combined with principal component aralysis (PCA) and other two SVM-RFE algorithms, A-SVM-RFE performs better. It is more fitting for industrial application. 展开更多
关键词 variable selection support vector machine recursive feature elimination fault diagnosis
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A Unified Strategy for Formal Derivation and Proof of Binary Tree Nonrecursive Algorithms 认领 引用 被引量：3
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作者 ZUO Zhengkang HUANG Zhipeng +3 位作者 FANG Yue HUANG Qing WANG Yuan WANG Changjing 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2022年第5期415-423,共9页
In the formal derivation and proof of binary tree algorithms,Dijkstra’s weakest predicate method is commonly used.However,the method has some drawbacks,including a time-consuming derivation process,complicated loop i... In the formal derivation and proof of binary tree algorithms,Dijkstra’s weakest predicate method is commonly used.However,the method has some drawbacks,including a time-consuming derivation process,complicated loop invariants,and the inability to generate executable programs from the specification.This paper proposes a unified strategy for the formal derivation and proof of binary tree non-recursive algorithms to address these issues.First,binary tree problem solving sequences are decomposed into two types of recursive relations based on queue and stack,and two corresponding loop invariant templates are constructed.Second,high-reliability Apla(abstract programming language)programs are derived using recursive relations and loop invariants.Finally,Apla programs are converted automatically into C++executable programs.Two types of problems with binary tree queue and stack recursive relations are used as examples,and their formal derivation and proof are performed to validate the proposed strategy’s effectiveness.This strategy improves the efficiency and correctness of binary tree algorithm derivation. 展开更多
关键词 queue and stack recursive relations loop invariants Dijkstra-Gries standard proving technique nonlinear data structure
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An Improved Heuristic Recursive Strategy Based on Genetic Algorithm for the Strip Rectangular Packing Problem 认领 引用 被引量：4
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作者 ZHANG De-Fu CHEN Sheng-Da LIU Yan-Juan 《自动化学报》 EI CAS 北大核心 2007年第9期911-916,共6页
An improved heuristic recursive strategy combining with genetic algorithm is presented in this paper.Firstly,this method searches some rectangles,which have the same length or width,to form some layers without waste s... An improved heuristic recursive strategy combining with genetic algorithm is presented in this paper.Firstly,this method searches some rectangles,which have the same length or width,to form some layers without waste space,then it uses the heuristic recursive strategies to calculate the height of the remaining packing order and uses the evolutionary capability of genetic algorithm to reduce the height.The computational results on several classes of benchmark problems have shown that the presented algorithm can compete with known evolutionary heuristics.It performs better especially for large test problems. 展开更多
关键词 Strip packing problems heuristic recursive genetic algorithm
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Recursive recurrent neural network:A novel model for manipulator control with different levels of physical constraints 认领 引用 被引量：6
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作者 Zhan Li Shuai Li 《CAAI Transactions on Intelligence Technology》 SCIE EI 2023年第3期622-634,共13页
Manipulators actuate joints to let end effectors to perform precise path tracking tasks.Recurrent neural network which is described by dynamic models with parallel processing capability,is a powerful tool for kinemati... Manipulators actuate joints to let end effectors to perform precise path tracking tasks.Recurrent neural network which is described by dynamic models with parallel processing capability,is a powerful tool for kinematic control of manipulators.Due to physical limitations and actuation saturation of manipulator joints,the involvement of joint constraints for kinematic control of manipulators is essential and critical.However,current existing manipulator control methods based on recurrent neural networks mainly handle with limited levels of joint angular constraints,and to the best of our knowledge,methods for kinematic control of manipulators with higher order joint constraints based on recurrent neural networks are not yet reported.In this study,for the first time,a novel recursive recurrent network model is proposed to solve the kinematic control issue for manipulators with different levels of physical constraints,and the proposed recursive recurrent neural network can be formulated as a new manifold system to ensure control solution within all of the joint constraints in different orders.The theoretical analysis shows the stability and the purposed recursive recurrent neural network and its convergence to solution.Simulation results further demonstrate the effectiveness of the proposed method in end‐effector path tracking control under different levels of joint constraints based on the Kuka manipulator system.Comparisons with other methods such as the pseudoinverse‐based method and conventional recurrent neural network method substantiate the superiority of the proposed method. 展开更多
关键词 dynamic neural networks recursive computation robotic manipulator
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Semantic Relation Annotation for Biomedical Text Mining Based on Recursive Directed Graph 认领 引用 被引量：2
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作者 CHEN Bo Lü Chen +1 位作者 WEI Xiaomei JI Donghong 《Wuhan University Journal of Natural Sciences》 CAS CSCD 2015年第2期141-145,共5页
In this paper we propose a novel model ＂recursive directed graph＂ based on feature structure, and apply it to represent the semantic relations of postpositive attributive structures in biomedical texts. The usages o... In this paper we propose a novel model ＂recursive directed graph＂ based on feature structure, and apply it to represent the semantic relations of postpositive attributive structures in biomedical texts. The usages of postpositive attributive are complex and variable, especially three categories： present participle phrase, past participle phrase, and preposition phrase as postpositire attributive, which always bring the difficulties of automatic parsing. We summarize these categories and annotate the semantic information. Compared with dependency structure, feature structure, being recursive directed graph, enhances semantic information extraction in biomedical field. The annotation results show that recursive directed graph is more suitable to extract complex semantic relations for biomedical text mining. 展开更多
关键词 biomedical text mining semantic annotation recursive directed graph postpositive attribute
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Minimal cut-based recursive decomposition algorithm for seismic reliability evaluation of lifeline networks 认领 引用 被引量：2
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作者 李杰 钱摇琨 刘威 《Earthquake Engineering and Engineering Vibration》 SCIE EI 2007年第1期21-28,共8页
In this paper, a new probabilistic analytical approach, the minimal cut-based recursive decomposition algorithm （MCRDA）, is presented to evaluate the seismic reliability of large-scale lifeline systems. Based on the... In this paper, a new probabilistic analytical approach, the minimal cut-based recursive decomposition algorithm （MCRDA）, is presented to evaluate the seismic reliability of large-scale lifeline systems. Based on the minimal cut searching algorithm, the approach calculates the disjoint minimal cuts one by one using the basic procedure of the recursive decomposition method. At the same time, the process obtains the disjoint minimal paths of the system. In order to improve the computation efficiency, probabilistic inequality is used to calculate a solution that satisfies the prescribed error bound. A series of case studies show that MCRDA converges rapidly when the edges of the systems have low reliabilities. Therefore, the approach can be used to evaluate large-scale lifeline systems subjected to strong seismic wave excitation. 展开更多
关键词 minimal cut seismic reliability recursive decomposition algorithm large-scale lifeline system
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A recursive formulation based on corotational frame for flexible planar beams with large displacement 认领 引用 被引量：3
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作者 WU Tan-hui LIU Zhu-yong HONG Jia-zhen 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第1期208-217,共10页
A forward recursive formulation based on corotational frame is proposed for flexible planar beams with large displacement.The traditional recursive formulation has been successfully used for flexible mutibody dynamics... A forward recursive formulation based on corotational frame is proposed for flexible planar beams with large displacement.The traditional recursive formulation has been successfully used for flexible mutibody dynamics to improve the computational efficiency based on floating frame,in which the assumption of small strain and deflection is adopted.The proposed recursive formulation could be used for large displacement problems based on the corotational frame.It means that the recursive scheme is used not only for adjacent bodies but also for adjacent beam elements.The nodal relative rotation coordinates of the planar beam are used to obtain equations with minimal generalized coordinates in present formulation.The proposed formulation is different from absolute nodal coordinate formulation and the geometrically exact beam formulation in which the absolute coordinates are used.The recursive scheme and minimal set of dynamic equations lead to a high computational efficiency in numerical integration.Numerical examples are carried out to demonstrate the accuracy and validity of this formulation.For all of the examples,the results of the present formulation are in good agreement with results obtained using commercial software and the published results.Moreover,it is shown that the present formulation is more efficient than the formulation in ANSYS based on GEBF. 展开更多
关键词 recursive formulation multibody dynamics large displacement beam corotational frame
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Fast recursive algorithm for two-dimensional Tsallis entropy thresholding method 认领 引用 被引量：2
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作者 Tang Yinggan Di Qiuyan Guan Xinping 《Journal of Systems Engineering and Electronics》 SCIE EI 2009年第3期619-624,共6页
Recently,a two-dimensional(2-D)Tsallis entropy thresholding method has been proposed as a new method for image segmentation.But the computation complexity of 2-D Tsallis entropy is very large and becomes an obstacle t... Recently,a two-dimensional(2-D)Tsallis entropy thresholding method has been proposed as a new method for image segmentation.But the computation complexity of 2-D Tsallis entropy is very large and becomes an obstacle to real time image processing systems.A fast recursive algorithm for 2-D Tsallis entropy thresholding is proposed.The key variables involved in calculating 2-D Tsallis entropy are written in recursive form.Thus,many repeating calculations are avoided and the computation complexity reduces to O(L2)from O(L4).The effectiveness of the proposed algorithm is illustrated by experimental results. 展开更多
关键词 image segmentation thresholding Tsallis entropy fast recursive algorithm
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Recursive weighted least squares estimation algorithm based on minimum model error principle 认领 引用 被引量：2
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作者 雷晓云 张志安 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2021年第2期545-558,共14页
Kalman filter is commonly used in data filtering and parameters estimation of nonlinear system,such as projectile's trajectory estimation and control.While there is a drawback that the prior error covariance matri... Kalman filter is commonly used in data filtering and parameters estimation of nonlinear system,such as projectile's trajectory estimation and control.While there is a drawback that the prior error covariance matrix and filter parameters are difficult to be determined,which may result in filtering divergence.As to the problem that the accuracy of state estimation for nonlinear ballistic model strongly depends on its mathematical model,we improve the weighted least squares method(WLSM)with minimum model error principle.Invariant embedding method is adopted to solve the cost function including the model error.With the knowledge of measurement data and measurement error covariance matrix,we use gradient descent algorithm to determine the weighting matrix of model error.The uncertainty and linearization error of model are recursively estimated by the proposed method,thus achieving an online filtering estimation of the observations.Simulation results indicate that the proposed recursive estimation algorithm is insensitive to initial conditions and of good robustness. 展开更多
关键词 Minimum model error Weighted least squares method State estimation Invariant embedding method Nonlinear recursive estimate
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A Recursive Method of Time-Frequency Analysis for the Signal Processing of Flutter Test with Progression Variable Speed 认领 引用 被引量：4
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作者 宋叔飚 裴承鸣 《Chinese Journal of Aeronautics》 EI CAS 2005年第3期213-217,共5页
Focused on the non-statlonarity and real-time analysis of signal in flutter test with progression variable speed （FTPVS）, a new method of recursive time-frequency analysis is presented. The time-varying system is tr... Focused on the non-statlonarity and real-time analysis of signal in flutter test with progression variable speed （FTPVS）, a new method of recursive time-frequency analysis is presented. The time-varying system is tracked on-line by building a time-varying parameter model, and then the relevant parameter spectrum can be obtained. The feasibility and advantages of the method are examined by digital simulation. The results of FTPVS at low-speed wind-tunnel promise the engineering application perspective of the method. 展开更多
关键词 flutter test with progression variable speed （FTPVS） non-stationary signal processing recursive time-frequency analysis （RTFA）
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