Global adaptive fuzzy consensus control of nonlinear multi-agent systems via distributed event-triggered communication

作者：Mao, Bing; Wu, Xiaoqun^*; Lei, Ling

来源：JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2023, 360(12): 8898-8917.

DOI：10.1016/j.jfranklin.2022.06.013

• FEEDBACK CONTROL
• NEURAL-NETWORKS
• TRACKING

This paper investigates globally bounded consensus of leader-following multi-agent systems with unknown nonlinear dynamics and external disturbance via adaptive event-triggered fuzzy control. Different from existing works where filtering and backstepping techniques are applied to design controllers and event-triggered conditions, a matrix inequality is established to obtain the feedback gain matrix and event-triggered functions. To save communication resources, a new distributed event-triggered controller with fully discontinuous communication among following agents is designed. Meanwhile, a strictly positive minimum of inter-event time is provided to exclude Zeno behavior. Furthermore, to achieve globally bounded leader-following consensus, an adaptive fuzzy approximator and a parameter estimator are designed to approximate the unknown nonlinear dynamics and parameters, respectively. Finally, the effectiveness of the proposed method is validated via a simulation example. & COPY; 2022 The Franklin Institute. Published by Elsevier Ltd.

• 单位
  武汉大学