The study on the efficient Identification Model of Nonlinear dynamical system using Neural Networks

신경회로망을 이용한 비선형 동적인 시스템의 효과적인 인식모델에 관한 연구

In this paper, we introduce the identification model of dynamic system using the neural networks, We propose two identification models. The output of the parallel identification model is a linear combination of its past values as well as those of the input. The series-parallel model is a linear combination of the past values in the input and output of the plant. To generate stable adaptive laws, we prove that the series-parallel model is found to be proferable.