Dynamic Event-Triggered Consensus Control for Interval Type-2 Fuzzy Multi-Agent Systems

Zhenbin Du, Xiangpeng Xie, Zifang Qu, Yang‐Yang Hu, Vladimir Stojanović

2024IEEE Transactions on Circuits and Systems I Regular Papers127 citationsDOI

Abstract

This study investigates a fuzzy consensus problem for nonlinear multi-agent systems (MASs) with parameter uncertainties via dynamic event-triggered mechanism. The interval type-2 (IT2) fuzzy systems are used to model MASs, and a dynamic event-triggered fuzzy controller is presented. A Lyapunov-Krasovskii functional is constructed in which the sampling property is included, based on which the sufficient condition is determined for dynamic event-triggered fuzzy controller, while all agents are guaranteed to be consensus exponentially. Finally, the MASs of tunnel diode circuit and one-link manipulator are used to verify the efficiency of the presented control method, respectively.

Topics & Concepts

Control theory (sociology)Fuzzy logicInterval (graph theory)Controller (irrigation)Fuzzy control systemConsensusNonlinear systemMulti-agent systemEvent (particle physics)Computer scienceMathematicsControl (management)Artificial intelligencePhysicsBiologyAgronomyCombinatoricsQuantum mechanicsDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationAdvanced Memory and Neural Computing