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서지반출
Wavelet Neural Network Based Indirect Adaptive Control of Chaotic Nonlinear Systems
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  • Wavelet Neural Network Based Indirect Adaptive Control of Chaotic Nonlinear Systems
  • Wavelet Neural Network Based Indirect Adaptive Control of Chaotic Nonlinear Systems
저자명
Choi. Yoon-Ho,Choi. Jong-Tae,Park. Jin-Bae
간행물명
퍼지 및 지능시스템학회 논문지
권/호정보
2004년|14권 1호|pp.118-124 (7 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In this paper, we present a indirect adaptive control method using a wavelet neural network (WNN) for the control of chaotic nonlinear systems without precise mathematical models. The proposed indirect adaptive control method includes the off-line identification and on-line control procedure for chaotic nonlinear systems. In the off-line identification procedure, the WNN based identification model identifies the chaotic nonlinear system by using the serial-parallel identification structure and is trained by the gradient-descent method. And, in the on-line control procedure, a WNN controller is designed by using the off-line identification model and is trained by the error back-propagation algorithm. Finally, the effectiveness and feasibility of the proposed control method is demonstrated with applications to the chaotic nonlinear systems.