Adaptive Fuzzy State‐Triggered Control for Heterogeneous MASs With State Constraints and Multiple Faults

ABSTRACT In this article, consider the fault‐tolerant control method of nonlinear heterogeneous multi‐agent systems (NHMASs) with state constraints and actuator faults, and propose a state‐triggered control method based on adaptive fuzzy strategy. For the unknown nonlinear dynamics in the NHMASs, the fuzzy logic systems (FLSs) are used for effective approximation, and the multiple faults is solved by introducing a damping term in the middle control laws. Considering the computational burden that may be caused by frequent information interactions in NHMASs, we design a state‐triggered mechanism (STM) to update the control inputs in a nonperiodic manner, which significantly reduces the consumption of communication and computational resources. In addition, by constructing the nonlinear transformation function (NTF), the complex state‐constrained problem is transformed into an easy‐to‐handle bounded problem, which guarantees the feasibility and stability of the NHMASs. Finally, simulation results prove the feasibility of the proposed control method.