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检索条件"任意字段=IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning"
1020 条 记 录,以下是431-440 订阅
排序:
Model-Free Value Iteration Solution for dynamic Graphical Games  23
Model-Free Value Iteration Solution for Dynamic Graphical Ga...
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ieee International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
作者: Abouheaf, Mohammed Gueaieb, Wail Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada
The dynamic graphical game is a special class of games where agents interact within a communication graph. This paper introduces an online model-free adaptive learning solution for dynamic graphical games. A reinforce... 详细信息
来源: 评论
H Control of Constrained-Input Nonlinear Systems with Unknown Model Based on adaptive dynamic programming  30
H<sub>∞</sub> Control of Constrained-Input Nonlinear System...
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30th Chinese Control and Decision Conference (CCDC)
作者: Pu, Jun Ma, Qingliang Gu, Fan Yu, Zexiang Xian Res Inst High Tech Dept Control Engn Xian 710025 Peoples R China
An adaptive dynamic programming(ADP) algorithm that contain online measurement and off-policy learning two phase is proposed to solve the H-infinity control problem of continuous-time nonlinear system with constrained... 详细信息
来源: 评论
Neural Network Tracking Control of Unknown Servo System with Approximate dynamic programming
Neural Network Tracking Control of Unknown Servo System with...
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第三十八届中国控制会议
作者: Yongfeng Lv Xuemei Ren Tianyi Zeng Linwei Li Jing Na School of Automation Beijing Institute of Technology IEEE Faculty of Mechanical & Electrical Engineering Kunming University of Science & Technology
Although the adaptive dynamic programming(ADP) scheme has been widely researched on the optimal problem in recent years, which has not been applied to the servo system. In this paper, a simplified reinforcement learni... 详细信息
来源: 评论
adaptive dynamic programming Based Motion Control of Autonomous Underwater Vehicles  5
Adaptive Dynamic Programming Based Motion Control of Autonom...
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5th International Conference on Control, Decision and Information Technologies (CoDIT)
作者: Vibhute, Siddhant VJTI Dept Elect Engn Mumbai Maharashtra India
In this paper, adaptive dynamic programming (ADP) technique is utilized to achieve optimal motion control of Autonomous Underwater Vehicle (AUV) System. The paper proposes a model-free based method that takes into con... 详细信息
来源: 评论
adaptive Constrained Optimal Control Design for Data-Based Nonlinear Discrete-Time Systems With Critic-Only Structure
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ieee TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS 2018年 第6期29卷 2099-2111页
作者: Luo, Biao Liu, Derong Wu, Huai-Ning Chinese Acad Sci State Key Lab Management & Control Complex Syst Inst Automat Beijing 100190 Peoples R China Guangdong Univ Technol Sch Automat Guangzhou 510006 Guangdong Peoples R China Beihang Univ Sci & Technol Aircraft Control Lab Beijing 100191 Peoples R China
reinforcement learning has proved to be a powerful tool to solve optimal control problems over the past few years. However, the data-based constrained optimal control problem of nonaffine nonlinear discrete-time syste... 详细信息
来源: 评论
adaptive dynamic programming for Cooperative Control with Incomplete Information
Adaptive Dynamic Programming for Cooperative Control with In...
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ieee International Conference on Systems, Man, and Cybernetics (SMC)
作者: Koepf, Florian Ebbert, Sebastian Flad, Michael Hohmann, Soeren Karlsruhe Inst Technol Inst Control Syst IRS Karlsruhe Germany
There is a trend towards interconnected and complex dynamical systems that are controlled by more than one controller. Due to the coupling of the controllers by means of the system, these interacting controllers need ... 详细信息
来源: 评论
reinforcement learning for adaptive Periodic Linear Quadratic Control
Reinforcement Learning for Adaptive Periodic Linear Quadrati...
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ieee Annual Conference on Decision and Control
作者: Bo Pang Zhong-Ping Jiang Iven Mareels Control and Networks Lab Department of Electrical and Computer Engineering Tandon School of Engineering New York University Brooklyn NY USA IBM Research - Australia Melbourne Vic Australia
This paper presents a first solution to the problem of adaptive LQR for continuous-time linear periodic systems. Specifically, reinforcement learning and adaptive dynamic programming (ADP) techniques are used to devel... 详细信息
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Optimal Fault-Tolerant Control for Discrete-Time Nonlinear Strict-Feedback Systems Based on adaptive Critic Design
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ieee TRANSACTIONS ON NEURAL NETWORKS AND learning SYSTEMS 2018年 第6期29卷 2179-2191页
作者: Wang, Zhanshan Liu, Lei Wu, Yanming Zhang, Huaguang Northeastern Univ Sch Informat Sci & Engn Shenyang 110004 Liaoning Peoples R China State Key Lab Synthet Automat Proc Ind Shenyang 110819 Liaoning Peoples R China Northeastern Univ State Key Lab Synthet Automat Proc Ind Shenyang 110819 Liaoning Peoples R China Liaoning Univ Technol Coll Sci Jinzhou 121001 Peoples R China
This paper investigates the problem of optimal fault-tolerant control (FTC) for a class of unknown nonlinear discrete-time systems with actuator fault in the framework of adaptive critic design (ACD). A pivotal highli... 详细信息
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Development of reinforcement learning Algorithm for 2-DOF Helicopter Model  27
Development of Reinforcement Learning Algorithm for 2-DOF He...
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27th ieee International symposium on Industrial Electronics, ISIE 2018
作者: Fandel, Andrew Birge, Anthony Miah, Suruz Department Bradley University Electrical and Computer Engineering PeoriaIL United States
This paper examines a reinforcement learning strategy for controlling a two degree-of-freedom (2-DOF) helicopter. The pitch and yaw angles are regulated to their corresponding reference angles by applying appropriate ... 详细信息
来源: 评论
reinforcement learning Solution with Costate Approximation for a Flexible Wing Aircraft  23
Reinforcement Learning Solution with Costate Approximation f...
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ieee International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)
作者: Abouheaf, Mohammed Gueaieb, Wail Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada
An online adaptive learning approach based on costate function approximation is developed to solve an optimal control problem in real time. The proposed approach tackles the main concerns associated with the classical... 详细信息
来源: 评论