Adaptive finite-time prescribed performance control of switched nonlinear systems with unknown actuator dead-zone

This paper focuses on the adaptive finite-time tracking control problem for a class of nonstrict-feedback switched nonlinear systems with unknown nonsymmetric actuator dead-zone. By utilising a novel finite-time performance function (FTPF), the finite-time prescribed performance control (FTPPC) algorithm is first proposed for the considered system. In this design, the neural networks (NNs) are directly utilised to cope with the completely unknown nonlinear functions of the systems. Different from the existing results, the proposed scheme is able to guarantee that the tracking error converges to a prescribed zone at a finite-time and all the signals of the closed-loop system remain semi-globally practical finite-time stable (SGPF-stable). Simulation results are offered to illustrate the feasibility of the newly designed scheme.