Identification of suspension systems using error self recurrent neural network and development of sliding mode controller

오차 자기 순환 신경회로망을 이용한 현가시스템 인식과 슬라이딩 모드 제어기 개발

In this paper the new neural network and sliding mode suspension controller is proposed. That neural network is error self-recurrent neural network. For fast on-line learning, this paper use recursive least squares method. A new neural networks converges considerably faster than the backpropagation algorithm and has advantages of being less affected by the poor initial weights and learning rate. The controller for suspension systems is designed according to sliding mode technique based on new proposed neural network.