Adaptive fuzzy command filtered backstepping consensus tracking control for discrete‐time nonlinear multiagent systems

Abstract This paper investigates the adaptive fuzzy command filtered backstepping consensus tracking control problem for discrete‐time nonlinear multiagent systems. The command filtered backstepping technique is developed to handle the causality contradiction problem and the filter errors can be removed by the error compensation mechanism. The fuzzy logic systems (FLSs) are used to approximate the uncertain dynamics of the agents. Moreover, the weighted Lyapunov functions are constructed to prove that all signals of the closed‐loop system are uniformly ultimately bounded (UUB). An example of vehicle system is presented to verify the viability of the proposed method.