Summary: | This paper is concerned with the problem of adaptive neural network (NN) tracking control for a class of uncertain switched nonlinear systems with time delays. Compared with the existing results, a new common Lyapunov function with switched adaptive parameters is constructed. The unknown functions with time-delay state are compensated by using appropriate Lyapunov-Krasovskii functionals in the design. To guarantee transient performance of switched systems with time delays, the prescribed performance bound (PPB) method is utilized. Based on convex combination technique, a novel adaptive NN tracking control method under state-dependent switching law is proposed. It is shown that under the proposed control and switching laws, all the signals of the closed-loop system are bounded and the tracking error is preserved within PPB. Finally, the simulation example is given to demonstrate the effectiveness of the proposed control scheme.
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