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In bipartite consensus tracking (BCT) tasks for nonlinear multiagent systems,stochastic disturbances and actuator faults are regarded as essential factorsthat hamper effective controller formulation and tracking precisionimprovement. To address these difficulties, we design an improved finitetimeperformance function (FTPF) for a fuzzy fault-tolerant distributed cooperativecontrol scheme to achieve finite-time robust precision BCT tasks for nonlinearmultiagent systems. The parameter selection range of the improved FTPF isrelaxed, which renders systems to achieve better transient performance.Benefitting from stochastic Lyapunov stability theory, it is shown that allsignals of systems are semi-global uniformly ultimately bounded in probability,and bipartite consensus errors can satisfy the arbitrary precision withprobability in the predefined time. Finally, to verify its effectiveness, theproposed control scheme is applied to BCT tasks of a group of vehicles, whichmanifests anticipated control performance under various uncertainties.

Fuzzy-based Robust Precision Consensus Tracking for Uncertain Networked Systems with Cooperative-Antagonistic Interactions