Neural Network Controller with Dynamic Structure for nonaffine Nonlinear System

불확실한 비선형 계통에 대한 동적인 구조를 가지는 강인한 신경망 제어기 설계

In adaptive neuro-control, neural networks are used to approximate the unknown plant nonlinearities. Until now, most of the papers in the field of controller design fur nonlinear system using neural networks considers the affine system with fixed number of neurons. This paper considers nonaffne nonlinear systems and dynamic variation of the number of neurons. Control laws and adaptive laws for weights are established so that the whole system is stable in the sense of Lyapunov.