Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Nonlinear system control using neural network guaranteed Lyapunov stability

리아프노브 안정성이 보장되는 신경회로망을 이용한 비선형 시스템 제어

  • 성홍석 (서강대학교 전자공학과) ;
  • 이쾌희 (서강대학교 전자공학과)
  • Published : 1996.09.01
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Abstract

In this paper, we describe the algorithm which controls an unknown nonlinear system with multilayer neural network. The multilayer neural network can be used to approximate any continuous function to any desired degree of accuracy. With the former fact, we approximate unknown nonlinear function on the nonlinear system by using of multilayer neural network. The weight-update rule of multilayer neural network is derived to satisfy Lyapunov stability. The whole control system constitutes controller using feedback linearization method. The weight of neural network which is used to implement nonlinear function is updated by the derived update-rule. The proposed control algorithm is verified through computer simulation.

Keywords

References

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