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检索条件"主题词=Adaptive Dynamic Programming"
1125 条 记 录,以下是861-870 订阅
排序:
A Combined Policy Gradient and Q-learning Method for Data-driven Optimal Control Problems  9
A Combined Policy Gradient and Q-learning Method for Data-dr...
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9th International Conference on Information Science and Technology (ICIST)
作者: Lin, Mingduo Liu, Derong Zhao, Bo Dai, Qionghai Dong, Yi Guangdong Univ Technol Sch Automat Guangzhou Peoples R China Beijing Normal Univ Sch Syst Sci Beijing Peoples R China Tsinghua Univ Dept Automat Beijing Peoples R China Beijing Inst Technol Sch Opt & Photon Beijing Peoples R China
This paper focuses on the data-driven controller design for optimal control problems of nonlinear nonaffine discrete-time systems. A novel policy gradient and Q-learning (PGQL) adaptive algorithm which learns the opti... 详细信息
来源: 评论
Reinforcement Learning With Adjustable Convergence Rate for Data-Based Nonlinear Control  36
Reinforcement Learning With Adjustable Convergence Rate for ...
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36th Chinese Control and Decision Conference (CCDC)
作者: Tang, Guohan Wang, Ding Li, Xin Ren, Jin Liu, Nan Beijing Univ Technol Fac Informat Technol Beijing Peoples R China
In this paper, a value-iteration-based off-policy Q-learning algorithm is developed. The proposed algorithm solves the optimal regulation problem of nonlinear systems with unknown dynamics. Under the off-policy mechan... 详细信息
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adaptive temperature tracking control of microwave heating high titanium slag based on ε-ADP  34
Adaptive temperature tracking control of microwave heating h...
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34th Chinese Control and Decision Conference (CCDC)
作者: Yang, Biao Du, Wan Li, Xinpei Kunming Univ Sci & Technol Kunming Sch Informat Engn & Automat Kunming 650500 Yunnan Peoples R China Kuiuning Univ Sci & Technol Key Lab Unconvent Met Minist Educ Kunming 650093 Yunnan Peoples R China
A data-driven model-based microwave heating adaptive dynamic planning temperature tracking algorithm is proposed for the microwave heating process with time-varying nonlinearity and strong coupling. The microwave heat... 详细信息
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Finite Horizon Optimal Tracking Control for a Class of Discrete-Time Nonlinear Systems
Finite Horizon Optimal Tracking Control for a Class of Discr...
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8th International Symposium on Neural Networks
作者: Wei, Qinglai Wang, Ding Liu, Derong Chinese Acad Sci Inst Automat Beijing 100190 Peoples R China
In this paper, a new iterative ADP algorithm is proposed to solve the finite horizon optimal tracking control problem for a class of discrete-time nonlinear systems. The idea is that using system transformation, the o... 详细信息
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Distributed Optimal Consensus Control for Coupled Linear Systems Based on Off-Policy Integral Reinforcement Learning  39
Distributed Optimal Consensus Control for Coupled Linear Sys...
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39th Youth Academic Annual Conference of Chinese-Association-of-Automation (YAC)
作者: Zhao, Wenyan Liu, Zhongchang Yang, Xin Dalian Maritime Univ Coll Marine Elect Engn Dalian Peoples R China
This article studies the consensus problem for coupled linear multi-agent systems with completely unknown system dynamics. These coupled individual agent systems aim to achieve consensus for their system states while ... 详细信息
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A Comparison of Learning Speed and Ability to Cope Without Exploration between DHP and TD(0)
A Comparison of Learning Speed and Ability to Cope Without E...
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International Joint Conference on Neural Networks (IJCNN)
作者: Fairbank, Michael Alonso, Eduardo City Univ London Dept Comp Sch Informat London EC1V 0HB England
This paper demonstrates the principal motivations for Dual Heuristic dynamic programming (DHP) learning methods for use in adaptive dynamic programming and Reinforcement Learning, in continuous state spaces: that of a... 详细信息
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Data-Based Nonaffine Optimal Tracking Control Using Iterative DHP Approach  21st
Data-Based Nonaffine Optimal Tracking Control Using Iterativ...
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21st IFAC World Congress on Automatic Control - Meeting Societal Challenges
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 Guangdong Univ Technol Sch Automat Guangzhou 510006 Peoples R China
In this paper, a data-based optimal tracking control approach is developed by involving the iterative dual heuristic dynamic programming algorithm for nonaffine systems. In order to gain the steady control correspondi... 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
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Decentralized Tracking Control of Interconnected Nonlinear Systems with Unmatched External Disturbances  43
Decentralized Tracking Control of Interconnected Nonlinear S...
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43rd Chinese Control Conference (CCC)
作者: Yuan, Zeqiang Wang, Ding Liu, Ao Hu, Qinna Zhou, Zihang 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 Beijing Univ Technol Beijing Inst Artificial Intelligence Beijing 100124 Peoples R China Beijing Univ Technol Beijing Lab Smart Environm Protect Beijing 100124 Peoples R China
In this paper, we develop a decentralized tracking control (DTC) strategy to stabilize a class of continuous-time nonlinear interconnected large-scale systems in the presence of unmatched external disturbances. This s... 详细信息
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Constrained Robust Optimal Sliding Mode Control for Uncertain Nonlinear Systems Using ADP Approach  6
Constrained Robust Optimal Sliding Mode Control for Uncertai...
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2017 IEEE 6th Data Driven Control and Learning Systems Conference (DDCLS’17)
作者: Qiuxia Qu Huaguang Zhang Rui Yu Geyang Xiao School of Information Science and Engineering Northeastern University
In this paper, a novel constrained composite sliding mode controller is studied for uncertain nonlinear systems with input saturation. Based on integral sliding mode and approximate dynamic programming theory, the pro... 详细信息
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