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检索条件"任意字段=IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning"
1018 条 记 录,以下是441-450 订阅
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A Summary on Some Typical adaptive dynamic programming Schemes  37
A Summary on Some Typical Adaptive Dynamic Programming Schem...
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37th Chinese Control Conference (CCC)
作者: Zhao, Qian Mu, Chaoxu Liu, Weiqiang Tianjin Univ Sch Elect & Informat Engn Tianjin 300072 Peoples R China Southeast Univ Sch Automat Nanjing 210096 Jiangsu Peoples R China
This paper sums up four typical schemes of adaptive dynamic programming (ADP). The diagrams are provided and the algorithms of various schemes are described, which is convenient for comparison. Some schemes in this pa... 详细信息
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Decentralized Control for Large-Scale Nonlinear Systems With Unknown Mismatched Interconnections via Policy Iteration
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ieee TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2018年 第10期48卷 1725-1735页
作者: Zhao, Bo Wang, Ding Shi, Guang Liu, Derong Li, Yuanchun 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 Changchun Univ Technol Dept Control Sci & Engn Changchun 130012 Jilin Peoples R China
In this paper, the decentralized control problem is solved based on a policy iteration algorithm for large-scale nonlinear systems with unknown mismatched interconnections. The unknown interconnection is approximated ... 详细信息
来源: 评论
Applying Expectation-Maximization Evaluation on Approximate Optimal Control  12
Applying Expectation-Maximization Evaluation on Approximate ...
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12th Annual ieee International Systems Conference (SYSCON)
作者: Zhang, Songtao Dubay, Rickey Univ New Brunswick Dept Mech Engn Fredericton NB Canada
In this paper we proposed an approach of approximating optimal tracking via expectation-maximization (EM) evaluation. From the discussion of applying reinforcement learning (RL) for a system with unknown internal dyna... 详细信息
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Longitudinal dynamic versus Kinematic Models for Car-Following Control Using Deep reinforcement learning
Longitudinal Dynamic versus Kinematic Models for Car-Followi...
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International Conference on Intelligent Transportation
作者: Yuan Lin John McPhee Nasser L. Azad Systems Design Engineering Department University of Waterloo Ontario Canada
The majority of current studies on autonomous vehicle control via deep reinforcement learning (DRL) utilize point-mass kinematic models, neglecting vehicle dynamics which includes acceleration delay and acceleration c... 详细信息
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adaptive Assist-as-needed Control Based on Actor-Critic reinforcement learning
Adaptive Assist-as-needed Control Based on Actor-Critic Rein...
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2019 ieee/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Yufeng Zhang Shuai Li Karen J. Nolan Damiano Zanotto Wearable Robotics Systems (WRS) Lab. Stevens Institute of Technology Hoboken NJ USA Human Performance and Engineering Research Kessler Foundation West Orange NJ USA
In robot-assisted rehabilitation, assist-as-needed (AAN) controllers have been proposed to promote subjects' active participation, which is thought to lead to better training outcomes. Most of these AAN controller...
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Optimal distributed containment control for nonlinear multi-agent graphical games
Optimal distributed containment control for nonlinear multi-...
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Chinese Automation Congress (CAC)
作者: Yu, Di Luo, Huafeng Beijing Informat Sci & Technol Univ Sch Automat Beijing Peoples R China Qingdao Univ Sci & Technol Coll Electromech Engn Qingdao Peoples R China
A new optimal distributed control scheme is developed for the containment control problem of nonlinear multi-agent graphical games. adaptive dynamic programming method is applied to obtain the approximate optimal cont... 详细信息
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A Single-NN Iterative adaptive dynamic programming Algorithm for Continuous-Time Nonlinear Zero-Sum Games  37
A Single-NN Iterative Adaptive Dynamic Programming Algorithm...
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37th Chinese Control Conference (CCC)
作者: Song, Ruizhuo Li, Junsong Univ Sci & Technol Beijing Sch Automat & Elect Engn Beijing 100083 Peoples R China
This paper establishes an approximate optimal critic learning algorithm based on single-network adaptive dynamic programming (ADP) aiming at solving for continuous-time 2-player zero-sum games(ZSG). However, the situa... 详细信息
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adaptive reinforcement learning-Based Routing Protocol for Wireless Multihop Networks  14
Adaptive Reinforcement Learning-Based Routing Protocol for W...
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14th International Scientific-Technical Conference on Actual Problems of Electronic Instrument Engineering, APEIE 2018
作者: Dugaev, Dmitrii A. Matveev, Ivan G. Siemens, Eduard Shuvalov, Viatcheslav P. Faculty of Electrical Mechanical and Industrial Engineering Anhalt University of Applied Sciences Koethen Germany Novosibirsk Russia
This paper presents a research on a topic of development of an adaptive packet routing scheme for wireless multihop networks, based on reinforcement learning optimization algorithm. A brief overview of classical appro... 详细信息
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Supplementary Frequency Control for Multi-machine Power System Based on adaptive dynamic programming  15th
Supplementary Frequency Control for Multi-machine Power Syst...
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15th International symposium on Neural Networks (ISNN)
作者: Shi, Zhan Wang, Zhanshan Luo, Yanhong Ye, Dan Northeastern Univ Sch Informat Sci & Engn Shenyang 110819 Liaoning Peoples R China
Power system is a nonlinear high-dimension complex system with dynamic uncertainties, how to carry out frequency regulation effectively in the event of disturbance is a difficult problem to be solved urgently. In this... 详细信息
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Model-Free Linear Discrete-Time System H Control Using Input-Output Data
Model-Free Linear Discrete-Time System H<sub>∞</sub> Contro...
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International Conference on Advanced Mechatronic Systems (ICAMechS)
作者: Fan, Jialu Li, Zhen Jiang, Yi Chai, Tianyou Lewis, Frank L. Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang Liaoning Peoples R China Univ Texas Arlington UTA Res Inst Arlington TX 76118 USA
In this paper, a data-driven output feedback H-infinity control algorithm for discrete-time linear systems with unknown dynamics has been proposed. At first, the standard model-based state feedback Hoo controller is f... 详细信息
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