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Titlebook: Intelligent Optimal Adaptive Control for Mechatronic Systems; Marcin Szuster,Zenon Hendzel Book 2018 Springer International Publishing AG,

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發(fā)表于 2025-3-21 18:39:00 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Intelligent Optimal Adaptive Control for Mechatronic Systems
編輯Marcin Szuster,Zenon Hendzel
視頻videohttp://file.papertrans.cn/470/469859/469859.mp4
概述Reports on the authors’ research on reinforcement learning and approximate dynamic programming for robot control.Compares intelligent methods with classical control methods.Includes an experimental ve
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: Intelligent Optimal Adaptive Control for Mechatronic Systems;  Marcin Szuster,Zenon Hendzel Book 2018 Springer International Publishing AG,
描述The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.
出版日期Book 2018
關(guān)鍵詞Bellman’s Dynamic Programming; DHP Method; GDHP Controller; Heuristic Dynamic Programming; Learning With
版次1
doihttps://doi.org/10.1007/978-3-319-68826-8
isbn_softcover978-3-319-88663-3
isbn_ebook978-3-319-68826-8Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 22:48:24 | 只看該作者
978-3-319-88663-3Springer International Publishing AG, part of Springer Nature 2018
板凳
發(fā)表于 2025-3-22 04:16:30 | 只看該作者
Intelligent Optimal Adaptive Control for Mechatronic Systems978-3-319-68826-8Series ISSN 2198-4182 Series E-ISSN 2198-4190
地板
發(fā)表于 2025-3-22 04:57:38 | 只看該作者
Intelligent Control of Mechatronic Systems,ontrolled systems. These algorithms can adapt their parameters to variable operating conditions and comprise artificial intelligence methods such as artificial neural networks, and fuzzy logic algorithms. A distinction can be made between fuzzy control and neural control based on the type of artificial intelligence algorithms.
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Control of Mechatronic Systems,ation of their significant advantages and drawbacks. The criteria for consideration in the accuracy of the tracking motion executed by nonlinear systems constitute a comparison of yielded results to the values obtained from tests, wherein the control system was based only on a PD controller.
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發(fā)表于 2025-3-22 18:02:19 | 只看該作者
Reinforcement Learning in the Control of Nonlinear Continuous Systems,ts which are learning the optimal solutions in real time on the basis of the measurement data of kinematic parameters of the controlled object’s motion. From the point of view of the control systems development, adaptive control and optimal control are based on different approaches.
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發(fā)表于 2025-3-23 01:09:07 | 只看該作者
Experimental Verification of Control Algorithms,search of the designed control algorithms. The scientific research included: the analysis of tracking control algorithms of WMR’s point ., the research of behavioral control algorithms for WMR motion in an unknown environment, and the analysis of tracking control algorithms of the operating arm of the RM.
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