제어로봇시스템학회:학술대회논문집
- 1996.10b
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- Pages.1165-1168
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- 1996
Design of nonlinear system controller based on radial basis function network
Radial Basis 함수 회로망을 이용한 비선형 시스템 제어기의 설계에 관한 연구
Abstract
The neural network approach has been shown to be a general scheme for nonlinear dynamical system identification. Unfortunately the error surface of a Multilayer Neural Network(MNN) that widely used is often highly complex. This is a disadvantage and potential traps may exist in the identification procedure. The objective of this paper is to identify a nonlinear dynamical systems based on Radial Basis Function Networks(RBFN). The learning with RBFN is fast and precise. This paper discusses RBFN as identification procedure is based on a nonlinear dynamical systems. and A design method of model follow control system based on RBFN controller is developed. As a result of applying this method to inverted pendulum, the simulation has shown that RBFN can be used as identification and control of nonlinear dynamical systems effectively.