earticle

논문검색

Stable Tracking Control to a Non-linear Process Via Neural Network Model

원문정보

Yujia Zhai

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

A stable neural network control scheme for unknown non-linear systems is developed in this paper. While the control variable is optimised to minimize the performance index, convergence of the index is guaranteed asymptotically stable by a Lyapnov control law. The optimization is achieved using a gradient descent searching algorithm and is consequently slow. A fast convergence algorithm using an adaptive learning rate is employed to speed up the convergence. Application of the stable control to a single input single output (SISO) non-linear system is simulated. The satisfactory control performance is obtained.

목차

Abstract
 1. Introduction
 2. NN stable control strategy
 3. Process description
 4. NN adaptive control of the process
 5. Conclusions
 References

저자정보

  • Yujia Zhai Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.