Abstract
The aim of this chapter is to design distributed average tracking algorithms for multi-agent systems with input saturation. The issue of input saturation 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 [1]. Thus, it is necessary to consider agents’ saturation constraints in distributed average tracking, 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.
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The results of this chapter are based mainly on [16]. See full copyright acknowledgement for non-original material at the end of the chapter.
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Acknowledgements
©2017 Springer. Reprinted, with permission, from Hui Liu, Fei Chen, Linying Xiang, and Weiyao Lan. “Distributed average tracking with input saturation.” Nonlinear Dynamics, vol. 90, no. 4, pp. 2827–2839, 2017.
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Chen, F., Ren, W. (2020). Distributed Average Tracking with Input Saturation. In: Distributed Average Tracking in Multi-agent Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-39536-0_8
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