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Indexed by:期刊论文

Date of Publication:2018-11-30

Journal:NEUROCOMPUTING

Included Journals:SCIE、Scopus

Volume:319

Page Number:34-41

ISSN No.:0925-2312

Key Words:Multi-agent systems; Distributed optimization; Event-triggered function

Abstract:This paper designs two kinds of event-triggered control protocols for distributed optimal coordination of a group of agents with second order dynamics interacting according to given communication graph. First, a centralized event-triggered protocol is developed to accomplish the optimal coordination in the Pareto sense. The parameter is designed by constructing a new Lyapunov function. Second, it is shown that the event-triggered scheme is Zeno-free. Third, a distributed event-triggered protocol is devised by extending the proposed technique. Simulations are provided to demonstrate the effectiveness of the proposed design. (c) 2018 Elsevier B.V. All rights reserved.