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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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Distributed Average Tracking in Formation Controlformation, while [.] uses distance-based information. A benefit of employing relative position information is that the resulting algorithms can generate a much richer formation behavior than its counterpart. It is worth mentioning that existing results on distributed average tracking primarily focus
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Overview social science [.], control engineering [., .], and software engineering [.]. Due to the gap between different research disciplines, it would be difficult to provide a unified definition of an agent that works for all subjects. Nevertheless, the following definition, adapted from [.], might be appropriate from the control perspective.
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https://doi.org/10.1007/978-94-015-7813-4h bounded derivatives (The results in this chapter are based mainly on [.]. We have rewritten some parts in [.] and added several examples. See full copyright acknowledgement for non-original material at the end of the chapter). The challenge of distributed average tracking algorithm design lies in
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https://doi.org/10.1007/978-1-349-16446-2ion 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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