Event-triggered consensus strategy for uncertain topological fractional-order multiagent systems based on Takagi–Sugeno fuzzy models

Abstract

This article investigates the event-triggered consensus strategy (ETCS) for uncertain topological fractional-order multiagent systems based on Takagi–Sugeno fuzzy models. First, a novel distributed ETCS, in which the event generator only depends on the information from neighboring agents at event-triggering instants, is designed to reduce the frequency of information transmission among all agents and to ensure a positive lower bound on the interval between any two event-triggering instants for all agents. Then, by applying the fractional Lyapunov method and the designed ETCS, the consensus problem for fractional-order multiagent systems is handled with less waste of system resources compared to the previous related works. According to the proposed consensus criteria, the Zeno behavior is precluded for ETCS. Finally, numerical simulations are given to demonstrate the effectiveness of the designed event-triggered control algorithm.