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논문 상세정보


In this paper, a predictive control method using self-recurrent wavelet neural network (SRWNN) is proposed for chaotic systems. Since the SRWNN has a self-recurrent mother wavelet layer, it can well attract the complex nonlinear system though the SRWNN has less mother wavelet nodes than the wavelet neural network (WNN). Thus, the SRWNN is used as a model predictor for predicting the dynamic property of chaotic systems. The gradient descent method with the adaptive learning rates is applied to train the parameters of the SRWNN based predictor and controller. The adaptive learning rates are derived from the discrete Lyapunov stability theorem, which are used to guarantee the convergence of the predictive controller. Finally, the chaotic systems are provided to demonstrate the effectiveness of the proposed control strategy.

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참고문헌 (16)

  1. G. Geng and G. M. Geary, 'Application of a neural-network-based RLS algorithm in the generalized predictive control of a nonlinear air-handing plant,' IEEE Trans. on Control Systems Technology, vol. 5, no. 4, pp. 439-445, July 1997 
  2. K. S. Narendra and K. Parthasarathy, 'Identification and control of dynamic system using neural network,' IEEE Trans. on Neural Networks, vol. 1, no. 1, pp. 4-27, March 1990 
  3. Y. Oussar, I. Rivals, L. Personnaz, and G. Dreyfus, 'Training wavelet networks for nonlinear dynamic input-output modeling,' Neurocomputing, vol. 20, pp. 173-188, 1998 
  4. K. S. Park, J. B. Park, Y. H. Chio, and G. Chen, 'Generalized predictive control of discrete-time chaotic system,' Int. Jour. of Bifurcation and Chaos, vol. 8, no. 7, pp. 137-148, 1987 
  5. G. Chen and X. Dong, 'On feedback control of chaotic continuous-time systems,' IEEE Trans. on Circuits ans Systems, vol. 40, no. 9, pp. 591- 601, 1993 
  6. B. A. Pearlmutter, 'Learning state space trajectories in recurrent neural networks,' Proc. of Int. Joint Conference on Neural Networks, vol. 2, pp. 365-372, 1989 
  7. T. Yabuta and T. Yamada, 'Learning control using neural networks,' Proc. of IEEE Int. Conf. Robotics and Automation, Sacramento, CA, pp. 740-745, 1991 
  8. J. Zhang, G. Walter, Y. Miao, and W. N. W. Lee, 'Wavelet neural networks for function learning,' IEEE Trans. on Signal Processing, vol. 43, no. 6, pp. 1485-1497, 1995 
  9. A. S. Poznyak, W. Yu, and E. N. Sanchez, 'Identification and control of unknown chaotic systems via dynamic neural networks,' IEEE Trans. on Circuits and Systems I: Fundamental Theory and Applications, vol. 46, no. 12, pp. 1491-1495, 1999 
  10. L. Xiaohua, W. Xiuhong, and W. Yunge, 'Generalized predictive control based on error correction using the dynamic neural network,' Proc. of the 3rd World Congress on Intelligent Control and Automation, vol. 3, no. 28, pp. 1863-1865, July 2000 
  11. G. Chen and X. Dong, 'On feedback control of chaotic nonlinear dynamic systems,' Int. Jour. of Bifucation and Chaos, vol. 2, no. 2, pp. 407-411, 1992 
  12. J. M. Joo and J. B. Park, 'Control of the differentially flat Lorenz system,' Int. Jour. of Bifucation and Chaos, vol. 11, no. 7, pp. 1989- 1996, 2001 
  13. K. B. Kim, J. B. Park, Y. H. Choi, and G. Chen, 'Control of chaotic nonlinear systems using radial basis network approximatiors,' Information Science, vol. 130, pp. 165-183, 2000 
  14. Q. Zhang and A. Benveniste, 'Wavelet networks,' IEEE Trans. on Neural Networks, vol. 3, no. 6, pp. 889-898, 1992 
  15. L. Cao, Y. Hong, H. Fang, and G. He, 'Predicting chaotic time series with wavelets networks,' Physica D, vol. 85 pp. 225-238, 1995 
  16. C. C. Ku and K. Y. Lee, 'Diagonal recurrent neural networks for dynamics systems control,' IEEE Trans. on Neural Networks, vol. 6, pp. 144-156, January 1995 

이 논문을 인용한 문헌 (6)

  1. Hyun, Keun-Ho ; Ka, Chool-Hyun 2005. "Design of a Robust Adaptive Backstepping Controller for a Chaos System with Disturbances" 전기학회논문지. The Transactions of the Korean Institute of Electrical Engineers. P, 54(3): 119~128 
  2. Yoo, Sung-Jin ; Choi, Yoon-Ho ; Park, Jin-Bae 2006. "Robust Flight Control System Using Neural Networks: Dynamic Surface Design Approach" 전기학회논문지. The transactions of the Korean Institute of Electrical Engineers. D / D, 시스템 및 제어부문, 55(12): 518~525 
  3. Yoo Sung-Jin ; Park Jin-Bae 2006. "Adaptive Backstepping Control Using Self Recurrent Wavelet Neural Network for Stable Walking of the Biped Robots" 제어·자동화·시스템공학 논문지 = Journal of control, automation and systems engineering, 12(3): 233~240 
  4. Lee, Sin-Ho ; Choi, Yoon-Ho ; Park, Jin-Bae 2007. "Terminal Sliding Mode Control of Nonlinear Systems Using Self-Recurrent Wavelet Neural Network" 제어·자동화·시스템공학 논문지 = Journal of control, automation and systems engineering, 13(11): 1033~1039 
  5. 2007. "" International Journal of Control, Automation and Systems, 5(3): 269~282 
  6. 2014. "" International Journal of Control, Automation and Systems, 12(1): 177~187 


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