Fuzzy adaptive predefined time control of nonlinear p-normal multiagent systems with unmodeled dynamics and disturbances

In this paper, a fuzzy adaptive predefined time and accuracy tracking control strategy is presented for a class of nonlinear p -normal multiagent systems (MASs) with unmodeled dynamics and disturbances. First of all, a predefined time controller is designed by improving sectioned functions, which allows the convergence time of the nonlinear p -normal MASs to be predetermined and the tracking errors to converge to a predetermined region. Second, in regard to the uncertain problems of the systems, the fuzzy logic systems are applied to estimate unknown nonlinear functions. Nonlinear disturbance observers are designed to approximate unknown unmodeled dynamics and disturbances, which reduces the computational complexity of the system via decreasing calculation steps and design parameters. Finally, the practicability of the presented method is validated by a simulation example.