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Fully Distributed Dynamic Event-Triggered Bipartite Formation Tracking for Multiagent Systems With Multiple Nonautonomous Leaders

Huaguang Zhang, Weihua Li, Juan Zhang, Yingchun Wang, Jiayue Sun

2022IEEE Transactions on Neural Networks and Learning Systems58 citationsDOI

Abstract

Considering that cooperative interactions and antagonistic interactions between neighboring agents may exist simultaneously in practice, this article studies the bipartite time-varying output formation tracking (BTVOFT) problems for homogeneous/heterogeneous multiagent systems with multiple nonautonomous leaders under switching communication networks. First, a full-dimensional observer-based nonsmooth distributed dynamic event-triggered (DDET) output feedback control scheme is proposed to ensure that BTVOFT is achieved, and the Zeno behavior is excluded. Note that the nonsmooth distributed control scheme requires global communication network information and may cause unexpected chattering effect, and the design cost of full-dimensional observer is relatively high. Thus, a reduced-dimensional observer-based continuous fully DDET scheme is proposed. Compared with the existing event-triggered schemes, the dynamic event-triggered scheme can ensure larger interevent times by introducing an additional internal dynamic variable. Finally, the effectiveness and performance of the theoretical results are validated by numerical simulations.

Topics & Concepts

Scheme (mathematics)Observer (physics)Computer scienceBipartite graphMulti-agent systemTracking (education)Control theory (sociology)Control (management)Information exchangeDistributed computingInternal modelTelecommunications networkTrajectoryA priori and a posterioriDecentralised systemDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationAdaptive Dynamic Programming Control