Adaptive Neural Network Tracking Control for Switched Nonlinear Systems with Prescribed Performance: A State-Dependent Switching Approach

In this paper, the global prescribed performance tracking control issue for a class of uncertain switched nonlinear systems is presented by using adaptive neural network technology. First, a state-dependent switching signal is devised, which can guarantee a dwell time between any two adjacent switching instants. Secondly, an adaptive controller is designed to ensure that output tracking error satisfies the prescribed performance for any initial points and all of the signals in the closed-loop system are uniform ultimate bounded. Thirdly, the prescribed performance tracking control problem of each subsystem does not demand to be solvable. Finally, a simulation example is used to demonstrate the feasibility of the proposed method.