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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Distributed Average Tracking for Networked Euler–Lagrange Systemss (The results in this chapter are mainly based on [.]. Compared with the journal version, we have added a simulation section. See full copyright acknowledgement for non-original material at the end of the chapter). While the distributed average tracking problem can be viewed as a generalization of

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Distributed Average Tracking with Input Saturationion is not only theoretically challenging, but also practically imperative. The ignorance of the effect of input saturation might deteriorate the performance of the system and even destroy the stability [.]. Thus, it is necessary to consider agents’ saturation constraints in distributed average trac

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Distributed Average Tracking in Formation Controlnection between distributed region-following formation control (DRFFC) and distributed average tracking, two seemly irrelevant problems. For single-integrator, double-integrator, and higher-order linear dynamics, it is found that DRFFC algorithms can be designed via the proposed distributed average

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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 978-3-030-39538-4978-3-030-39536-0

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Distributed Average Tracking in Multi-agent Systems

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conformity

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PreliminariesFig.?.). An undirected graph can be seen as a digraph, where all edges are bidirectional. As a result, undirected graphs are always balanced. Throughout the book, we consider simple graphs. That is, graphs without self-edges or multiple edges.