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检索条件"主题词=Adaptive Dynamic Programming"
1126 条 记 录,以下是1011-1020 订阅
排序:
Stability and monotone convergence of generalised policy iteration for discrete-time linear quadratic regulations
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INTERNATIONAL JOURNAL OF CONTROL 2016年 第3期89卷 437-450页
作者: Chun, Tae Yoon Lee, Jae Young Park, Jin Bae Choi, Yoon Ho Yonsei Univ Dept Elect & Elect Engn Seoul 120749 South Korea Kyonggi Univ Dept Elect Engn Suwon Kyonggi Do South Korea
In this paper, we analyse the convergence and stability properties of generalised policy iteration (GPI) applied to discrete-time linear quadratic regulation problems. GPI is one kind of the generalised adaptive dynam... 详细信息
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Approximate guaranteed cost fault-tolerant control of unknown nonlinear systems with time-varying actuator faults
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NONLINEAR dynamicS 2016年 第1-2期83卷 269-282页
作者: Xie, Chun-Hua Yang, Guang-Hong Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Peoples R China
In this paper, the guaranteed cost fault-tolerant control problem for unknown multi-input continuous nonlinear systems with loss of actuator effectiveness faults is investigated using the adaptive dynamic programming ... 详细信息
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Using reinforcement learning techniques to solve continuous-time non-linear optimal tracking problem without system dynamics
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IET CONTROL THEORY AND APPLICATIONS 2016年 第12期10卷 1339-1347页
作者: Zhu, Yuanheng Zhao, Dongbin Li, Xiangjun Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China China Elect Power Res Inst Elect Engn & New Mat Dept Beijing 100192 Peoples R China
The optimal tracking of non-linear systems without knowing system dynamics is an important and intractable problem. Based on the framework of reinforcement learning (RL) and adaptive dynamic programming, a model-free ... 详细信息
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A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization
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SOFT COMPUTING 2016年 第2期20卷 707-716页
作者: Wang, Ding Liu, Derong Li, Hongliang Ma, Hongwen Li, Chao Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
In this paper, the robust decentralized stabilization of continuous-time uncertain nonlinear systems with multi control stations is developed using a neural network based online optimal control approach. The novelty l... 详细信息
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Data-based robust optimal control of continuous-time affine nonlinear systems with matched uncertainties
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INFORMATION SCIENCES 2016年 366卷 121-133页
作者: Wang, Ding Li, Chao Liu, Derong Mu, Chaoxu Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Tianjin Univ Sch Elect Engn & Automat Tianjin Key Lab Proc Measurement & Control Tianjin 300072 Peoples R China
In this paper, the robust optimal control of continuous-time affine nonlinear systems with matched uncertainties is investigated by using a data-based integral policy iteration approach. It is a natural extension of t... 详细信息
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Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy
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NEUROCOMPUTING 2016年 214卷 297-306页
作者: Wang, Ding Liu, Derong Mu, Chaoxu Ma, Hongwen Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Tianjin Univ Sch Elect Engn & Automat Tianjin Key Lab Proc Measurement & Control Tianjin 300072 Peoples R China
A novel learning-based optimal control approach is constructed to attain the decentralized guaranteed cost controller design for a class of continuous-time complex nonlinear systems with dynamical uncertainties and in... 详细信息
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Optimal tracking control for completely unknown nonlinear discrete-time Markov jump systems using data-based reinforcement learning method
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NEUROCOMPUTING 2016年 194卷 176-182页
作者: Jiang, He Zhang, Huaguang Luo, Yanhong Wang, Junyi Northeastern Univ Coll Informat Sci & Engn Box 134 Shenyang 110819 Peoples R China
In this paper, we develop a novel optimal tracking control scheme for a class of nonlinear discrete-time Markov jump systems (MJSs) by utilizing a data-based reinforcement learning method. It is not practical to obtai... 详细信息
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Improvement of LMI controllers of Takagi-Sugeno models via Q-learning
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IFAC-PapersOnLine 2016年 第5期49卷 67-72页
作者: Díaz, Henry Armesto, Leopoldo Sala, Antonio Universitat Politècnica de València C/Camino de Vera s/n Valencia46022 Spain
This paper presents a preliminary attempt to bridge the conservative (shape-independent) results from guaranteed-cost LMIs and the reinforcement learning setups which learn optimal controllers from data. In this sense... 详细信息
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Mobile Robot Control Based on Hybrid Neuro-Fuzzy Value Gradient Reinforcement Learning
Mobile Robot Control Based on Hybrid Neuro-Fuzzy Value Gradi...
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International Joint Conference on Neural Networks
作者: Seaar Al-Dabooni Donald Wunsch Dept. of Electrical and Computer Engineering Missouri University of Science and Technology
This paper uses value gradient learning (VGL) to track a reference trajectory under uncertainties, by computing the optimal left and right torque values for a nonholonomic mobile robot. VGL is a high-performance algor... 详细信息
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Heuristic dynamic programming Using Echo State Network For Multivariable Tracking Control Of Wastewater Treatment Process
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ASIAN JOURNAL OF CONTROL 2015年 第5期17卷 1654-1666页
作者: Bo Ying-Chun Qiao Jun-Fei China Univ Petr Coll Informat & Control Engn Qingdao 266580 Peoples R China Beijing Univ Technol Coll Elect & Control Engn Beijing 100124 Peoples R China
This paper proposes a heuristic dynamic programming (HDP) scheme to simultaneously control the dissolved oxygen concentration and the nitrate level in wastewater treatment processes (WWTP). Unlike traditional HDP sche... 详细信息
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