Advanced Search
Volume 27 Issue 1
Jan.  2005
Turn off MathJax
Article Contents
Tan Wen, Wang Yao-Nan. Adaptive Control of Unknown Chaotic System via Dynamic Neural Networks[J]. Journal of Electronics & Information Technology, 2005, 27(1): 143-145.
Citation: Tan Wen, Wang Yao-Nan. Adaptive Control of Unknown Chaotic System via Dynamic Neural Networks[J]. Journal of Electronics & Information Technology, 2005, 27(1): 143-145.

Adaptive Control of Unknown Chaotic System via Dynamic Neural Networks

  • Received Date: 2003-08-01
  • Rev Recd Date: 2004-01-08
  • Publish Date: 2005-01-19
  • A new robust adaptive identification-based control of chaotic system with uncertain parameters in view of modeling error is proposed in this paper. The objective is to adjust the unknown chaos to a fixed point. It is fulfilled by taking following two steps: a dynamical neural network is used as system identifier, then a controller based on identification estimates is established to direct the chaos states towards desired target. Also, rigorous mathematical proof is given to analyze the stability properties of the system. Finally, the effectiveness of the proposed method is demonstrated by the Duffing equation.
  • loading
  • Chen G. Controlling Chaos and Bifurcations in Engineering System. Boca Raton, FL, USA: CRC Press, 1999:1 - 68.[2]Chen G, Dong X. Identification and control of chaotic systems:an artificial neural network approach. In: Proceedings of the IEEE International Symposium on Circuits and Syst., Seattle, 1995:1177- 1182.[3]Nijmeijer. H, Berghuis H. On Lyapunov control of the Duffing equation. IEEE Trans. on Circuits and Syst., 1995, 42 (8): 473 -477.[4]Gallegos J A. Nonlinear regulation of a Lorenz system by feedback linearization techniques[J].Dynamic Contr.1994, 4(3):277-[5]Loria A, Panteley E, Nijmeijer H. Control of the chaotic Duffing equation with uncertainty in all parameters[J].IEEE Trans. on Circuits andSys.1998, 45(12):1252-[6]Rovithakiss G A, Christodoulou M A. A robust direct adaptive regulation architecture using dynamic neural network models.IEEE World Congress on Computational Intelligence, San Diego,CA, 1994: 1110- 1115.[7]Narendra K S, Annaswamy A M. Stable Adaptive Systems.Englewood Cliffs: Prentice Hall, 1989:238 - 289.[8]Ioannou P A, Datta A. Robust adaptive control: design, analysis and robustness bounds, in Foundations of Adaptive Control,Kokotovic. P.V ed., Berlin, Springer-Verlag, 1991: 71 - 152.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2467) PDF downloads(775) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return