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Titlebook: New Trends in Robot Control; Jawhar Ghommam,Nabil Derbel,Quanmin Zhu Book 2020 Springer Nature Singapore Pte Ltd. 2020 Robotic system.Robo

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書目名稱New Trends in Robot Control
編輯Jawhar Ghommam,Nabil Derbel,Quanmin Zhu
視頻videohttp://file.papertrans.cn/667/666019/666019.mp4
概述Presents the applications of advanced control approaches in robotic systems.Explores new problems concerning various categories of robotic systems.Offers an excellent reference work for advanced under
叢書名稱Studies in Systems, Decision and Control
圖書封面Titlebook: New Trends in Robot Control;  Jawhar Ghommam,Nabil Derbel,Quanmin Zhu Book 2020 Springer Nature Singapore Pte Ltd. 2020 Robotic system.Robo
描述.This book presents solutions to control problems in a number of robotic systems and provides a wealth of worked-out examples with full analytical and numerical details, graphically illustrated to aid in reader comprehension. It also presents relevant studies on and applications of robotic system control approaches, as well as the latest findings from interdisciplinary theoretical studies. Featuring chapters on advanced control (fuzzy, neural, backstepping, sliding mode, adaptive, predictive, diagnosis, and fault-tolerant control), the book will equip readers to easily tailor the techniques to their own applications. Accordingly, it offers a valuable resource for researchers, engineers, and students in the field of robotic systems..
出版日期Book 2020
關(guān)鍵詞Robotic system; Robot manipulator; Wheeled Mobile Robot; UAV-drones; Continuous of Connected agents; Cons
版次1
doihttps://doi.org/10.1007/978-981-15-1819-5
isbn_softcover978-981-15-1821-8
isbn_ebook978-981-15-1819-5Series ISSN 2198-4182 Series E-ISSN 2198-4190
issn_series 2198-4182
copyrightSpringer Nature Singapore Pte Ltd. 2020
The information of publication is updating

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Which is Better for Mobile Robot Trajectory Optimization: PSO or GA?rformances of PSO and GA. Then, we apply PSO and GA in the optimization of parameters of DVSF. (Dynamic Variable Speed Force Field) path planning approach. Different environments of different types, statics and dynamics are considered in these simulations to decide which is better for mobile robot path planning optimization: PSO or GA.
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Exoskeletons Control via Computed Torque for Lower Limb Rehabilitation lokomat system. Besides, in order to test the effectiveness and the robustness of these controllers, several cases have been proposed. Simulations were carried out to compare and to show the well desired trajectory tracking in these cases.
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Adaptive Event-Triggered Regulation Control of Nonholonomic Mobile Robotsvelocity tracking errors, by explicitly taking into account the dynamics of the MR. The Lyapunov’s method is utilized to develop an event-sampling condition and to demonstrate the regulation error performance of the MR. At the end of the chapter, simulation results are given to verify our theoretical claims.
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