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检索条件"主题词=Adaptive Dynamic Programming"
1118 条 记 录,以下是1011-1020 订阅
排序:
Linear quadratic stochastic optimal control with state- and control-dependent noises: A deterministic data approach
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NEUROCOMPUTING 2024年 575卷
作者: Zhang, Heng Yan, Zhiguo Shandong Univ Sch Control Sci & Engn Jinan 250061 Peoples R China Qilu Univ Technol Shandong Acad Sci Sch Informat & Automat Jinan 250353 Peoples R China
This paper investigates an infinite -horizon linear quadratic stochastic optimal control (LQSOC) problem with state- and control -dependent noises, in which two system matrices are unknown. First, a deterministic syst... 详细信息
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Generalized value iteration for discounted optimal control with stability analysis
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SYSTEMS & CONTROL LETTERS 2021年 147卷 104847-104847页
作者: Ha, Mingming Wang, Ding Liu, Derong Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beijing Univ Technol Beijing Key Lab Computat Intelligence & Intellige Beijing 100124 Peoples R China Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA
In this work, the generalized value iteration with a discount factor is developed for optimal control of discrete-time nonlinear systems, which is initialized with a positive definite value function rather than zero. ... 详细信息
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Fault-tolerant tracking control for nonlinear systems with multiplicative actuator faults in view of zero-sum differential games
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NEUROCOMPUTING 2024年 567卷
作者: Tan, Cong Lin, Mingduo Xia, Hongbing Zhao, Bo Beijing Normal Univ Sch Syst Sci Beijing 100875 Peoples R China Chongqing Univ Posts & Telecommun Key Lab Ind Internet Things & Networked Control Minist Educ Chongqing 400065 Peoples R China Anhui Univ Sch Artificial Intelligence Hefei 230601 Peoples R China
In view of zero-sum differential games, this paper addresses the fault-tolerant tracking control (FTTC) problem for nonlinear systems with multiplicative actuator faults. By augmenting the nominal system, the trajecto... 详细信息
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Data-driven fault-tolerant control for nonlinear systems with output saturation
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CHAOS SOLITONS & FRACTALS 2023年 第1期173卷
作者: Wang, Xianming Shao, Yiyu Zhang, Zhihao Shen, Mouquan Karimi, Hamid Reza Nanjing Tech Univ Sch Mech & Power Engn Nanjing 211816 Peoples R China Nanjing Tech Univ Coll Elect Engn & Control Sci Nanjing 211816 Peoples R China Politecn Milan Dept Mech Engn I-20156 Milan Italy
This paper is focused on data-driven fault-tolerant control for nonlinear systems with output saturation. A modified observer with measurement output is built to approximate sensor fault. According to this approximati... 详细信息
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Integral reinforcement learning-based event-triggered optimal tracking control for modular robot manipulators via non-zero-sum game
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MEASUREMENT SCIENCE AND TECHNOLOGY 2024年 第9期35卷 096205-096205页
作者: Dong, Bo Ding, Zhendong An, Tianjiao Cui, Yiming Zhu, Xinye Changchun Univ Technol Dept Control Sci & Engn Changchun Peoples R China
Under an event-triggered mechanism, a non-zero-sum (NZS) game optimal tracking control method for modular robot manipulator (MRM) systems with input constraints is proposed using the adaptive dynamic programming (ADP)... 详细信息
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Multilayer adaptive critic design with digital twin for data-driven optimal tracking control and industrial applications
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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 第PartB期133卷
作者: Wang, Ding Ma, Hongyu Qiao, Junfei Beijing Univ Technol Fac Informat Technol Beijing 100124 Peoples R China Beijing Univ Technol Key Lab Computat Intelligence & Intelligent Syst Beijing 100124 Peoples R China Beijing Univ Technol Lab Smart Environm Protect Beijing 100124 Peoples R China Beijing Univ Technol Inst Artificial Intelligence Beijing 100124 Peoples R China
In this paper, an optimal trajectory tracking control problem for general nonlinear systems is investigated. An adaptive critic control method with the digital twin (DT) theory is developed. Divergent from the existin... 详细信息
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Zero-sum game-based security control of unknown nonlinear Markov jump systems under false data injection attacks
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INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 2022年 第0期
作者: Gao, Xiaobin Deng, Feiqi Zeng, Pengyu South China Univ Technol Sch Automat Sci & Engn Guangzhou 510640 Guangdong Peoples R China
In order to solve the security control problem of discrete-time unknown Markov jump systems (MJSs) subject to false data injection attacks, a new zero-sum game-based control method is developed in this paper by using ... 详细信息
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Robust adaptive Control of Maximum Power Point Tracking for Wind Power System
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IEEE ACCESS 2020年 8卷 214538-214550页
作者: Chen, Peng Han, Dezhi Li, Kuan-Ching Shanghai Maritime Univ Dept Comp Sci & Technol Shanghai 200120 Peoples R China Providence Univ Dept Comp Sci & Informat Engn CSIE Taichung 43301 Taiwan
A novel data-driven robust approximate optimal Maximum Power Point Tracking (MPPT) control method is proposed for the wind power generation system by using the adaptive dynamic programming (ADP) algorithm. First, a da... 详细信息
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Optimized intelligent tracking control for a quadrotor unmanned aerial vehicle with actuator failures
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AEROSPACE SCIENCE AND TECHNOLOGY 2024年 144卷
作者: Li, Bo Liu, Hui Ahn, Choon Ki Gong, Wenquan Shanghai Maritime Univ Inst Logist Sci & Engn Shanghai 201306 Peoples R China Korea Univ Sch Elect Engn Seoul 136701 South Korea
This work investigates the implementation of tracking control for a quadrotor unmanned aerial vehicle exposed to disturbances and actuator failures. Cost reduction in control processes is not usually considered in con... 详细信息
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dynamic compensator-based near-optimal control for unknown nonaffine systems via integral reinforcement learning
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NEUROCOMPUTING 2024年 564卷
作者: Lin, Jinquan Zhao, Bo Liu, Derong Wang, Yonghua Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China Beijing Normal Univ Sch Syst Sci Beijing 100875 Peoples R China Southern Univ Sci & Technol Sch Syst Design & Intelligent Mfg Shenzhen 518055 Peoples R China Univ Illinois Dept Elect & Comp Engn Chicago IL 60607 USA
In this paper, a dynamic compensator-based near-optimal control approach for unknown nonaffine nonlinear systems is developed by using integral reinforcement learning. Since system dynamics is unknown, it is difficult... 详细信息
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