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检索条件"主题词=Adaptive Dynamic Programming"
1125 条 记 录,以下是931-940 订阅
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Robust control scheme for a class of uncertain nonlinear systems with completely unknown dynamics using data-driven reinforcement learning method
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NEUROCOMPUTING 2018年 273卷 68-77页
作者: Jiang, He Zhang, Huaguang Cui, Yang Xiao, Geyang Northeastern Univ Coll Informat Sci & Engn Box 134 Shenyang 110819 Liaoning Peoples R China
This paper deals with the robust control issues for a class of uncertain nonlinear systems with completely unknown dynamics via a data-driven reinforcement learning method. Firstly, we formulate the optimal regulation... 详细信息
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Neural robust stabilization via event-triggering mechanism and adaptive learning technique
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NEURAL NETWORKS 2018年 102卷 27-35页
作者: Wang, Ding Liu, Derong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Comp & Control Engn Beijing 100049 Peoples R China Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China
The robust control synthesis of continuous-time nonlinear systems with uncertain term is investigated via event-triggering mechanism and adaptive critic learning technique. We mainly focus on combining the event-trigg... 详细信息
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Decentralized reliable guaranteed cost control for large-scale nonlinear systems using actor-critic network
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NEUROCOMPUTING 2018年 320卷 121-128页
作者: Ye, Dan Song, Tingting Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110189 Liaoning Peoples R China
In this paper, the decentralized reliable guaranteed cost control problem of large-scale nonlinear systems with mismatched interconnection and time-varying actuator fault is investigated. The unknown actuator fault is... 详细信息
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Linear quadratic tracking control of unknown discrete-time systems using value iteration algorithm
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NEUROCOMPUTING 2018年 314卷 86-93页
作者: Li, Xiaofeng Xue, Lei Sun, Changyin Southeast Univ Sch Automat Nanjing 210096 Jiangsu Peoples R China
In this paper, an optimal tracking control scheme is proposed to solve the infinite-horizon linear quadratic tracking (LQT) problem using iterative adaptive dynamic programming (ADP) algorithm. The reference trajector... 详细信息
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Observer-Based adaptive Fuzzy Decentralized Optimal Control Design for Strict-Feedback Nonlinear Large-Scale Systems
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IEEE TRANSACTIONS ON FUZZY SYSTEMS 2018年 第2期26卷 569-584页
作者: Tong, Shaocheng Sun, Kangkang Sui, Shuai Liaoning Univ Technol Coll Sci Jinzhou 121001 Peoples R China
In this paper, the problem of adaptive fuzzy decentralized optimal control is investigated for a class of nonlinear large-scale systems in strict-feedback form. The considered nonlinear large-scale systems contain the... 详细信息
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Discrete-Time Multi-Player Games Based on Off-Policy Q-Learning
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IEEE ACCESS 2019年 7卷 134647-134659页
作者: Li, Jinna Xiao, Zhenfei Li, Ping Liaoning Shihua Univ Sch Informat & Control Engn Fushun 113001 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Liaoning Peoples R China
In this paper, an off-policy game Q-learning algorithm is proposed for solving linear discrete-time non-zero sum multi-player game problems. Unlike the existing Q-learning methods for solving the Riccati equation by o... 详细信息
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Multi-step heuristic dynamic programming for optimal control of nonlinear discrete-time systems
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INFORMATION SCIENCES 2017年 411卷 66-83页
作者: Luo, Biao Liu, Derong Huang, Tingwen Yang, Xiong Ma, Hongwen Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China Texas A&M Univ Qatar POB 23874 Doha Qatar
Policy iteration and value iteration are two main iterative adaptive dynamic programming frameworks for solving optimal control problems. Policy iteration converges fast while requiring an initial stabilizing control ... 详细信息
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Iterative ADP learning algorithms for discrete-time multi-player games
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ARTIFICIAL INTELLIGENCE REVIEW 2018年 第1期50卷 75-91页
作者: Jiang, He Zhang, Huaguang Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China
adaptive dynamic programming (ADP) is an important branch of reinforcement learning to solve various optimal control issues. Most practical nonlinear systems are controlled by more than one controller. Each controller... 详细信息
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Intelligent Optimal Control With Critic Learning for a Nonlinear Overhead Crane System
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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2018年 第7期14卷 2932-2940页
作者: Wang, Ding He, Haibo Liu, Derong Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Chinese Acad Sci Inst Automat Beijing Engn Res Ctr Intelligent Syst & Technol Beijing 100190 Peoples R China Univ Chinese Acad Sci Sch Comp & Control Engn Beijing 100049 Peoples R China Univ Rhode Isl Dept Elect Comp & Biomed Engn Kingston RI 02881 USA Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China
In this paper, for achieving the discounted optimal feedback stabilization of a nonlinear overhead crane system, we establish an intelligent control strategy to obtain the solution of the corresponding Hamilton-Jacobi... 详细信息
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Manifold Regularized Reinforcement Learning
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IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2018年 第4期29卷 932-943页
作者: Li, Hongliang Liu, Derong Wang, Ding Tencent Inc AI Platform Dept Shenzhen 518057 Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
This paper introduces a novel manifold regularized reinforcement learning scheme for continuous Markov decision processes. Smooth feature representations for value function approximation can be automatically learned u... 详细信息
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