Event triggered adaptive fuzzy consensus for interconnected switched multiagent systems

Abstract

This paper concentrates on the problem of event triggered adaptive leader-following control for a class of multiagent systems. The considered systems contain completely unknown interconnections and arbitrary asynchronously switching. To handle these nonlinearties, a new hierarchical barrier Lyapunov method is proposed. Based on this method, a novel adaptive fuzzy control strategy is designed to make the output tracking errors of the multiagent systems converge to a small neighborhood of origin. Stability analysis shows that the proposed method can guarantee the compact set conditions of the fuzzy logic systems during the entire design process. Meanwhile, to reduce the computational burden, novel event triggered mechanisms are presented for both the transmission between two connected agents, and the communication between the sensor and the controller in one agent. An illustrative example is presented to verify the effectiveness of the proposed controller.