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Titlebook: Distributed Average Tracking in Multi-agent Systems; Fei Chen,Wei Ren Book 2020 Springer Nature Switzerland AG 2020 Distributed Average Tr

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發(fā)表于 2025-3-21 17:37:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Distributed Average Tracking in Multi-agent Systems
編輯Fei Chen,Wei Ren
視頻videohttp://file.papertrans.cn/282/281761/281761.mp4
概述Introduces students to an exciting field of research in control and robotics.Provides academic researchers with suggestions for new directions of study in multi-agent systems.Presents animated simulat
圖書封面Titlebook: Distributed Average Tracking in Multi-agent Systems;  Fei Chen,Wei Ren Book 2020 Springer Nature Switzerland AG 2020 Distributed Average Tr
描述.This book presents a systematic study of an emerging field in the development of multi-agent systems. In a wide spectrum of applications, it is now common to see that multiple agents work cooperatively to accomplish a complex task. The book assists the implementation of such applications by promoting the ability of multi-agent systems to track — using local communication only — the mean value of signals of interest, even when these change rapidly with time and when no individual agent has direct access to the average signal across the whole team; for example, when a better estimation/control performance of multi-robot systems has to be guaranteed, it is desirable for each robot to compute or track the averaged changing measurements of all the robots at any time by communicating with only local neighboring robots. The book covers three factors in successful distributed average tracking:..algorithm design via nonsmooth and extended PI control;.distributed average tracking for double-integrator, general-linear, Euler–Lagrange, and input-saturated dynamics; and.applications in dynamic region-following formation control and distributed convex optimization.?..The book presents both the
出版日期Book 2020
關(guān)鍵詞Distributed Average Tracking; Multi-agent Systems; Distributed Control; Cooperative Control; Dynamic Ave
版次1
doihttps://doi.org/10.1007/978-3-030-39536-0
isbn_softcover978-3-030-39538-4
isbn_ebook978-3-030-39536-0
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 21:01:11 | 只看該作者
板凳
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地板
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5#
發(fā)表于 2025-3-22 10:59:49 | 只看該作者
https://doi.org/10.1007/978-981-10-7176-8the average consensus problem [., ., .] and the coordinated tracking problem [., ., .], it has the unique challenge that the average of the reference signals to be tracked might not be available to any agent and is usually time varying. The nonlinear Euler–Lagrange dynamics makes the problem even more challenging.
6#
發(fā)表于 2025-3-22 14:37:51 | 只看該作者
https://doi.org/10.1007/978-1-349-16446-2king, which has not been addressed in the literature. It is worth pointing out that due to the existence of the reference signals, distributed average tracking algorithms are no longer “symmetric”, which makes the analysis of distributed average tracking algorithms with input saturation much more challenging.
7#
發(fā)表于 2025-3-22 20:38:46 | 只看該作者
https://doi.org/10.1007/978-94-015-7813-4or distributed average tracking, and a redesign is needed to take into account the changing trend of the reference signals. Although the reference signals are time varying, their derivatives are usually bounded. Thus, it is of interest to study the distributed average tracking problem for reference signals with bounded derivatives.
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發(fā)表于 2025-3-22 21:45:30 | 只看該作者
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發(fā)表于 2025-3-23 08:30:48 | 只看該作者
Distributed Average Tracking via Nonsmooth Feedbackor distributed average tracking, and a redesign is needed to take into account the changing trend of the reference signals. Although the reference signals are time varying, their derivatives are usually bounded. Thus, it is of interest to study the distributed average tracking problem for reference signals with bounded derivatives.
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