Proceedings of the KIPE Conference (전력전자학회:학술대회논문집)

The Korean Institute of Power Electronics (전력전자학회)
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Adaptive Output-feedback Neural Control for Strict-feedback Nonlinear Systems

strict-feedback 비선형 시스템의 출력궤환 적응 신경망 제어기

  • Park Jang-Hyun (School of Electric, Control, Advanced Material Engineering, Mokpo University) ;
  • Kim Il-Whan (School of Electric, Control, Advanced Material Engineering, Mokpo University) ;
  • Kim Seong-Hwan (School of Electric, Control, Advanced Material Engineering, Mokpo University) ;
  • Moon Chae-Joo (School of Electric, Control, Advanced Material Engineering, Mokpo University) ;
  • Choi Jun-Ho (Department of Electrical Engineering, Chonnam Univerity)
  • 박장현 (목포대학교 전기제어신소재공학부) ;
  • 김일환 (목포대학교 전기제어신소재공학부) ;
  • 김성환 (목포대학교 전기제어신소재공학부) ;
  • 문채주 (목포대학교 전기제어신소재공학부) ;
  • 최준호 (전남대학교 전기공학과)
  • Published : 2006.06.01
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Abstract

An adaptive output-feedback neural control problem of SISO strict-feedback nonlinear system is considered in this paper. The main contribution of the proposed method is that it is shown that the output-feedback control of the strict-feedback system can be viewed as that of the system in the normal form. As a result, proposed output-feedback control algorithm is much simpler than the previous backstepping-based controllers. Depending heavily on the universal approximation property of the neural network (NN) only one NN is employed to approximate lumped uncertain nonlinearity in the controlled system.

Keywords