Event-Triggered Optimal Consensus of Heterogeneous Nonlinear Multi-Agent Systems

Yunfeng Ji, Gang Wang (), Qingdu Li and Chaoli Wang
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Yunfeng Ji: Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China
Gang Wang: Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China
Qingdu Li: Institute of Machine Intelligence, University of Shanghai for Science and Technology, Shanghai 200093, China
Chaoli Wang: Department of Control Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Mathematics, 2022, vol. 10, issue 23, 1-14

Abstract: This paper deals with optimal consensus problems of a general heterogeneous nonlinear multi-agent system. A novel filter is proposed for each agent by integrating local gradients with neighboring output information. Using this filter and introducing an appropriate auxiliary variable, the event-triggered control algorithm is obtained within the framework of the prescribed performance control. One of the remarkable properties of the proposed algorithm is that it can save resources by updating control signals only when necessary rather than periodically while achieving optimal consensus. Theoretical and simulation verifications of the algorithm without the Zeno behavior are carefully studied. Instructions are also presented for control parameter selection to keep the residual errors as small as desired.

Keywords: multi-agent systems; consensus control; event-triggered control; nonlinear systems (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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