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作品数:504被引量:778H指数:12
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相关机构:华中师范大学河北工业大学南京航空航天大学哈尔滨工业大学更多>>
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Data-based neural controls for an unknown continuous-time multi-input system with integral reinforcement
《Control Theory and Technology》2025年第1期118-130,共13页Yongfeng Lv Jun Zhao Wan Zhang Huimin Chang 
Integral reinforcement learning(IRL)is an effective tool for solving optimal control problems of nonlinear systems,and it has been widely utilized in optimal controller design for solving discrete-time nonlinearity.Ho...
关键词:Adaptive dynamic programming Integral reinforcement Neural networks Heuristic dynamic programming Multi-input system 
Unknown system dynamics estimator-based impedance control for lower limb exoskeleton with enhanced performance
《Control Theory and Technology》2024年第1期56-68,共13页Wenhao Zhang Peng Song Mingying Wu Qiang Li Xinmin Mo Pingxin Ji 
supported in part by the Young Talent Fund of Association for Science and Technology in Shaanxi,China(No.20230126).
In this article, an unknown system dynamics estimator-based impedance control method is proposed for the lower limb exoskeleton to stimulate the tracking flexibility with the terminal target position when suffering pa...
关键词:Trajectory tracking Invariant manifold Funnel control Impedance control Lower limb exoskeleton 
Global output feedback control of feedforward nonlinear time-delay systems with unknown growth rate and unknown measurement sensitivity
《Control Theory and Technology》2024年第1期122-134,共13页Weiyong Yu Keao Gao Hongbing Zhou Qiang Liu 
supported by the fund of Beijing Municipal Commission of Education(Nos.22019821001 and KM202210017001);the Natural Science Foundation of Henan Province(No.222300420253).
This paper discusses the problem of global state regulation via output feedback for a class of feedforward nonlinear time-delay systems with unknown measurement sensitivity. Different from previous works, the nonlinea...
关键词:Adaptive control Dynamic gain controllers Feedforward time-delay systems Measurement sensitivity Output feedback 
Neural-network-based stochastic linear quadratic optimal tracking control scheme for unknown discrete-time systems using adaptive dynamic programming被引量:2
《Control Theory and Technology》2021年第3期315-327,共13页Xin Chen Fang Wang 
This work was supported by the National Natural Science Foundation of China(No.61873248);the Hubei Provincial Natural Science Foundation of China(Nos.2017CFA030,2015CFA010);the 111 project(No.B17040).
In this paper,a stochastic linear quadratic optimal tracking scheme is proposed for unknown linear discrete-time(DT)systems based on adaptive dynamic programming(ADP)algorithm.First,an augmented system composed of the...
关键词:Stochastic system Optimal tracking control Adaptive dynamic programming Neural networks 
A neuro-observer-based optimal control for nonaffine nonlinear systems with control input saturations
《Control Theory and Technology》2021年第2期283-294,共12页Behzad Farzanegan Mohsen Zamani Amir Abolfazl Suratgar Mohammad Bagher Menhaj 
In this study,an adaptive neuro-observer-based optimal control(ANOPC)policy is introduced for unknown nonaffine nonlinear systems with control input constraints.Hamilton–Jacobi–Bellman(HJB)framework is employed to m...
关键词:Input constraints Optimal control Neural networks Nonaffine nonlinear systems Reinforcement learning Unknown dynamics 
A learning-based synthesis approach to decentralized supervisory control of discrete event systems with unknown plants
《Control Theory and Technology》2014年第3期218-233,共16页Jin DAI Hai LIN 
supported by the National Science Foundation(Nos.NSF-CNS-1239222,NSF-EECS-1253488)
In this paper, we consider the problem of automatic synthesis of decentralized supervisor for uncertain discrete event systems. In particular, we study the case when the uncontrolled plant is unknown a priori. To deal...
关键词:Discrete-event systems Supervisor synthesis Regular language learning CONTROLLABILITY Decentralized control 
New results on global output-feedback stabilization for nonlinear systems with unknown growth rate被引量:1
《控制理论与应用(英文版)》2013年第3期401-408,共8页Xuehua YAN Yungang LIU 
supported by the National Natural Science Foundations of China (Nos. 60974003, 61143011, 61273084, 61233014);the Natural Science Foundation for Distinguished Young Scholar of Shandong Province of China (No. JQ200919);the Independent Innovation Foundation of Shandong University (No. 2012JC014)
In this paper, the global asymptotic stabilization by output feedback is investigated for a class of uncertain nonlinear systems with unmeasured states dependent growth. Compared with the closely related works, the re...
关键词:Uncertain nonlinear systems Global asymptotic stabilization Adaptive control Output feedback Dynamic high gain 
Robust integral control for a class of nonlinear systems with unknown control coefficients
《控制理论与应用(英文版)》2012年第3期359-364,共6页Jiangbo YU Yah ZHAO Yuqiang WU 
supported by the National Natural Science Foundation of China(Nos.60974127,60904022);the Key Project Foundation of the Educational Ministry(No.208074);the Innovation Program of Graduate Students of Jiangsu Province of China(No.CXZZ11-0155)
The robust integral control problem is studied for a class of nonlinear systems with input-to-state stable (ISS) unmodeled dynamics in this paper. It does not require a priori knowledge of the control coefficients. ...
关键词:Nonlinear systems ISS Dynamic uncertainty Unknown control coefficients Set-point tracking 
Semitensor product based adaptive control for attitude tracking of spacecraft with unknown external disturbances被引量:2
《控制理论与应用(英文版)》2012年第3期292-296,共5页Xuxi ZHANG 
supported by the National Natural Science Foundation of China(Nos.60736022,61074114)
This paper investigates the attitude tracking and disturbance rejection problem of rigid spacecraft. Using a new matrix product, i.e., the semitensor product of matrices, the parameter uncertainties in the inertia mat...
关键词:Semitensor product Adaptive control Attitude tracking Disturbance rejection 
Adaptive tracking H-infinity control for switched nonlinear systems with unknown control gain sign被引量:3
《控制理论与应用(英文版)》2011年第4期579-583,共5页LeiYU ShuminFEI HairongZHU XunLI 
supported by the National Natural Science Foundation of China (Nos. 60835001, 60804017);the Application Research Programs of Nantong City ( No. K2010057);the Open Project from digital manufacture technology Key Laboratory of Jiangsu Province (No. HGDML-0908)
This paper addresses the adaptive tracking control scheme for switched nonlinear systems with unknown control gain sign. The approach relaxes the hypothesis that the upper bound of function control gain is known const...
关键词:RBF neural networks Adaptive tracking control H-infinity control Tracking error performance 
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