Nonlinear Auto Disturbance Rejection Controller based on Neural Networks

H. Bao, B.Y. Duan, and G.D. Chen (PRC)


nonlinear systems, output feedback, adaptive control


: A procedure for designing an adaptive output feedback control methodology of single-input /output uncertain nonlinear systems is presented. Combining of neural networks with nonlinear state error feedback (NLSEF), a new method for controlling uncertain nonlinear systems is presented in this paper. The methodology has and well dynamic properties than the former NLSEF. The proposed nonlinear adaptive controller is implemented by utilizing only output feedback. Two examples are given to demonstrate the methodology.

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