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Adaptive NN-based Controller Design for a Class of Time-delay Nonlinear Systems

This paper investigates the problem of adaptive wavelet neural network (WNN)-based controller design for a class of parameter strict feedback (PSF) Time-delay nonlinear systems. By constructing a Lyapunov-Krasovskii functional and using the backstepping procedure, an adaptive controller is developed. It is proved that the proposed method is able to guarantee the semiglobally uniformly ultimate boundedness (SGUUB) of all signals in the closed-loop system.1