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Distributed Average Tracking via an Extended PI Scheme

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Abstract

The aim of this chapter is to provide a systematic understanding of the distributed average tracking algorithm design under an extended proportional–integral (PI) framework (The results of this chapter are mainly based on [7]. Section 4.2 is newly added. Additionally, we have added the proof for Theorem 4.2, which was not included in [7] due to space limitation, and we have added a simulation section. See full copyright acknowledgement for non-original material at the end of the chapter). Three different kinds of references are considered: references with steady states, references with bounded derivatives, and references with a common derivative. Compared with the nonsmooth algorithm investigated in the last chapter, the algorithms proposed in this chapter are all smooth; thus overcoming certain undesirable features of nonsmooth algorithms, such as the chattering effect.

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Notes

  1. 1.

    The results of this chapter are mainly based on [7]. Section 4.2 is newly added. Additionally, we have added the proof for Theorem 4.2, which was not included in [7] due to space limitation, and we have added a simulation section. See full copyright acknowledgement for non-original material at the end of the chapter.

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Acknowledgements

©2015 IEEE. Reprinted, with permission, from Fei Chen, Gang Feng, Lu Liu, and Wei Ren. “Distributed average tracking of networked Euler-Lagrange systems.” IEEE Transactions on Automatic Control, vol. 60, no. 2, pp. 547–552, 2015.

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Correspondence to Fei Chen .

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Chen, F., Ren, W. (2020). Distributed Average Tracking via an Extended PI Scheme. In: Distributed Average Tracking in Multi-agent Systems. Springer, Cham. https://doi.org/10.1007/978-3-030-39536-0_4

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