Adaptive Fuzzy Leader-Following Consensus Control for Stochastic Multiagent Systems with Heterogeneous Nonlinear Dynamics

• Published in: IEEE transactions on fuzzy systems Vol. 25; no. 1; pp. 181 - 190
• Main Authors: Chang-E Ren, Long Chen, Chen, C. L. Philip
• Format: Journal Article
• Language: English
• Published: IEEE 01-02-2017
• Subjects: Adaptive fuzzy control; consensus control; Fuzzy logic; Multi-agent systems; Nonlinear dynamical systems; nonlinear dynamics; stochastic multiagent systems; Stochastic processes; Stochastic systems; Vibrations
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2016.2554151

This paper focuses on the leader-following consensus control problem of multiagent systems in random vibration environment. The Itô stochastic systems with heterogeneous unknown dynamics and external disturbances are established to describe the agents in random vibration environment. The fuzzy logic systems are applied to approximate the unknown nonlinear dynamics, and one adaptive parameter is designed to decay the effect of external disturbances. We present a new distributed consensus controller for each follower agent only based on local information that is measured or received from its neighbors and itself. Under the consensus controller, we prove that all the follower agents can keep consensus with the leader, even though only a very small part of follower agents can measure or receive the state information of the leader. Furthermore, the states of all the follower agents are bounded in probability. Finally, the simulation results are provided to illustrate the effectiveness of the designed algorithm.