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Fully Distributed Dynamic Event-Triggered Pinning Cluster Consensus Control for Heterogeneous Multiagent Systems With Cooperative–Competitive Interactions

Lianghao Ji, Xiaochun Liu, Cuijuan Zhang, Shasha Yang, Huaqing Li

2022IEEE Transactions on Systems Man and Cybernetics Systems29 citationsDOI

Abstract

In this article, the cluster consensus of heterogeneous multiagent systems is investigated via dynamic event-triggered and pining control strategies. Comprehensively considering the cooperative and competitive interactions among the agents, a novel cluster consensus control protocol is designed, and a class of fully distributed dynamic event-triggered laws that do not depend on the global information is proposed. Being distinct from the traditional static threshold value, a time-varying threshold value is introduced which can effectively reduce the trigger time. Meanwhile, some sufficient conditions are obtained theoretically by using Lyapunov stability theory and the pinning control strategy is addressed as well. Furthermore, it has also been shown that each agent can exclude Zeno behavior. Finally, two simulated examples are given to illustrate the correctness and validity of the proposed methods and our findings.

Topics & Concepts

CorrectnessComputer scienceMulti-agent systemCluster (spacecraft)ConsensusDistributed computingControl (management)Lyapunov stabilityProtocol (science)Event (particle physics)Stability (learning theory)Lyapunov functionControl theory (sociology)Artificial intelligenceAlgorithmNonlinear systemComputer networkPhysicsPathologyAlternative medicineMachine learningMedicineQuantum mechanicsDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationAdvanced Memory and Neural Computing
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