Robust cooperative output regulation for heterogeneous nonlinear multi-agent systems with an unknown exosystem subject to jointly connected switching networks

This paper investigates the robust cooperative output regulation problem for heterogeneous lower triangular nonlinear multi-agent systems with an unknown exosystem over jointly connected switching networks. The problem has been studied for the exactly known exosystem over switching networks. However...

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Veröffentlicht in:ISA transactions 2023-12, Vol.143, p.59-78
Hauptverfasser: Jin, Zengke, Wang, Chaoli, Liang, Dong, Liang, Zhenying, Li, Shihua
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Sprache:eng
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Zusammenfassung:This paper investigates the robust cooperative output regulation problem for heterogeneous lower triangular nonlinear multi-agent systems with an unknown exosystem over jointly connected switching networks. The problem has been studied for the exactly known exosystem over switching networks. However, the existing result for the unknown exosystem is still limited to the static networks. To ensure that all followers acquire the reference trajectory generated by the unknown exosystem through the jointly connected switching networks, by combining a set of auxiliary filtering variables and fixed-time stability theory, an adaptive distributed observer is designed. On the basis of the adaptive distributed observer and the distributed internal model approach, we propose a distributed controller under several standard assumptions to solve the problem. Compared with the similar work subject to the static networks, the controller in this paper is applicable to the more general communication network while weakening the assumptions of the controlled system. •A new distributed observer is designed for relatively general exosystem and networks.•We transform an unknown exosystem into a known exosystem in a fixed time.•We avoided the additional assumptions of articles studying similar exosystems.•We extended similar articles to more general networks and controlled objects.
ISSN:0019-0578
1879-2022
DOI:10.1016/j.isatra.2023.09.006