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检索条件"主题词=Adaptive Dynamic Programming"
1125 条 记 录,以下是1011-1020 订阅
排序:
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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Improvement of LMI controllers of Takagi-Sugeno models via Q-learning
Improvement of LMI controllers of Takagi-Sugeno models via Q...
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4th IFAC Conference on Intelligent Control and Automation Sciences (ICONS)
作者: Diaz, Henry Armesto, Leopoldo Sala, Antonio Univ Politecn Valencia IDF Inst Univ Autom Inf Ind AI2 C Camino Vera S-N E-46022 Valencia 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
来源: 评论