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Adaptive dynamic surface control is presented for a class of nonlinear system in strict feedback form with unmodeled dynamics. By incorporating the approximation capability of neural networks, the design makes the approach of dynamic surface control be extended to the nonlinear system with unmodeled dynamics, and relaxes the extent of application of the approach of dynamic surface control. By introducing...
The purpose of this paper is to present systematic procedure for synthesis of nonlinear controllers for complicate nonlinear systems. The approach utilizes an improved fuzzy basis function network (FBFN) to approximate the unknown nonlinear functions of unmolded dynamics, with adaptive laws to be applied to attenuate the effects of approximation errors and external disturbances. Based on the Lyapunov...
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