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检索条件"主题词=Adaptive Dynamic Programming"
1125 条 记 录,以下是951-960 订阅
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Self-Learning Optimal Control for Uncertain Nonlinear Systems via Online Updated Cost Function  33
Self-Learning Optimal Control for Uncertain Nonlinear System...
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33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)
作者: Zhao, Bo Shi, Guang Li, Chao Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing Peoples R China Coordinat Ctr China Natl Comp Network Emergency Response Tech Team Beijing Peoples R China
This paper presents an online updated cost function based self-learning optimal control scheme for uncertain nonlinear systems. By establishing an online updated cost function with the help of disturbance observer, th... 详细信息
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adaptive Learning and Control for MIMO System Based on adaptive dynamic programming
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IEEE TRANSACTIONS ON NEURAL NETWORKS 2011年 第7期22卷 1133-1148页
作者: Fu, Jian He, Haibo Zhou, Xinmin Wuhan Univ Technol Sch Automat Wuhan 430070 Hubei Peoples R China
adaptive dynamic programming (ADP) is a promising research field for design of intelligent controllers, which can both learn on-the-fly and exhibit optimal behavior. Over the past decades, several generations of ADP d... 详细信息
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Optimal Tracking Control of Heterogeneous Multi-agent Systems with Switching Topology via Actor-Critic Neural Networks  37
Optimal Tracking Control of Heterogeneous Multi-agent System...
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37th Chinese Control Conference (CCC)
作者: Peng, Zhinan Hu, Jiangping Ghosh, Bijoy K. Univ Elect Sci & Technol China Sch Automat Engn Chengdu 611731 Sichuan Peoples R China Texas Tech Univ Dept Math & Stat Lubbock TX 79409 USA
In this paper, an optimal tracking control problem is solved for high-order heterogeneous multi-agent systems with time-varying interaction networks within the framework of reinforcement learning. First, the optimal t... 详细信息
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adaptive-Learning-Based H Optimal Tracking Control Design for a Class of Constrained Nonlinear Systems  37
Adaptive-Learning-Based <i>H</i><sub>∞</sub> Optimal Tracki...
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37th Chinese Control Conference (CCC)
作者: Hou, Jiaxu Wang, Ding Liu, Derong 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 Univ Chinese Acad Sci Sch Comp & Control Engn Beijing 100049 Peoples R China Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China
This paper, considering constrained inputs, focuses on designing the optimal controller for discrete-time H-infinity tracking control problems. The neural-network-based iterative learning algorithm is deemed to be an ... 详细信息
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Multi-Sensor Scheduling for Target Tracking based on Constrained ADP in Energy Harvesting WSN  13
Multi-Sensor Scheduling for Target Tracking based on Constra...
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13th IEEE Conference on Industrial Electronics and Applications (ICIEA)
作者: Liu, Fen Jiang, Chengpeng Chen, Shuai Xiao, Wendong Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China Beijing Engn Res Ctr Ind Spectrum Imaging Beijing 100083 Peoples R China
With the development of energy harvesting technologies, the building of wireless sensor networks (WSN) based on energy harvesting has become possible, and helps to weaken the limitation of battery energy in WSN. The m... 详细信息
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Critic-Identifier Structure-Based ADP for Decentralized Robust Optimal Control of Modular Robot Manipulators  8
Critic-Identifier Structure-Based ADP for Decentralized Robu...
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8th International Conference on Information Science and Technology (ICIST)
作者: Dong, Bo Wang, Shuxiang Zhou, Fan Li, Yan Wang, Shenquan Liu, Keping Li, Yuanchun Changchun Univ Technol Dept Control Sci & Engn Changchun 130012 Jilin Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China
This paper presents a decentralized robust optimal control method for modular robot manipulators (MRMs) via a novel critic-identifier (CI) structure-based adaptive dynamic programming (ADP) scheme. The robust control ... 详细信息
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ADP-Based Model Reference adaptive Control Design for Unknown Discrete-Time Nonlinear Systems  37
ADP-Based Model Reference Adaptive Control Design for Unknow...
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37th Chinese Control Conference (CCC)
作者: Wang, Wei Chen, Xin Wang, Fang Fu, Hao China Univ Geosci Sch Automat Wuhan 430074 Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Peoples R China Zhengzhou Univ Light Ind Sch Elect & Informat Engn Zhengzhou 450002 Henan Peoples R China
In engineering applications, it is very useful to make a nonlinear system behave like a linear stable system. However, how to design a model reference adaptive control (MRAC) as the nonlinear dynamics is unknown is th... 详细信息
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Finite horizon optimal control of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming
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控制理论与应用(英文版) 2011年 第3期9卷 381-390页
作者: Wei, Qinglai Liu, Derong Key Laboratory of Complex Systems and Intelligence Science Institute of Automatio Chinese Academy of Sciences Beijing 100190 China
In this paper,we aim to solve the finite horizon optimal control problem for a class of discrete-time nonlinear systems with unfixed initial state using adaptive dynamic programming(ADP) approach.A new-optimal control... 详细信息
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An Event-Triggered ADP Controller for Single Link Robot Arm System Based on Output Position  30
An Event-Triggered ADP Controller for Single Link Robot Arm ...
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30th Chinese Control and Decision Conference (CCDC)
作者: Yang, Yang Xu, Chuang Meng, Qing Tan, Jie Nanjing Univ Posts & Telecommun Coll Automat Nanjing 210023 Peoples R China
In this paper, an event -triggered adaptive dynamic programming (ADP) control method is proposed for a single link robot ann system based on the output position. Firstly, we propose a state observer with the neural ne... 详细信息
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Data-Driven Policy Learning Strategy for Nonlinear Robust Control With Unknown Perturbation  33
Data-Driven Policy Learning Strategy for Nonlinear Robust Co...
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33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)
作者: Fang, Sai Wang, Ding Liu, Derong Ha, Mingming Univ Sci & Technol Beijing Sch Automat Beijing Peoples R China Chinese Acad Sci Inst Automat Beijing Peoples R China Guangdong Univ Technol Sch Automat Guangzhou Guangdong Peoples R China
In this paper, we propose a robust optimal control policy for nonlinear systems with bounded unknown perturbation by using data-driven policy learning strategy. The robust control problem is transformed into a corresp... 详细信息
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