International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지

Nonlinear Networked Control Systems with Random Nature using Neural Approach and Dynamic Bayesian Networks

  • Published : 2008.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

We propose an intelligent predictive control approach for a nonlinear networked control system (NCS) with time-varying delay and random observation. The control is given by the sum of a nominal control and a corrective control. The nominal control is determined analytically using a linearized system model with fixed time delay. The corrective control is generated online by a neural network optimizer. A Markov chain (MC) dynamic Bayesian network (DBN) predicts the dynamics of the stochastic system online to allow predictive control design. We apply our proposed method to a satellite attitude control system and evaluate its control performance through computer simulation.

Keywords

References

  1. T. C. Yang, "Networked control systems: A brief survey," IEE Proc.-Control Theory and Applications., vol. 153, no. 4, pp. 403-412, 2006 https://doi.org/10.1049/ip-cta:20050178
  2. Y. Jianyong, Y. Shimin, and W. Haiqing, "Survey on the performance analysis of networked control systems," Proc. of IEEE Int. Conf. on System, Man and Cybernetics, pp. 5068-5073, 2004
  3. Y. Tipsuwan and M.-Y. Chow, "Control methodologies in networked control systems," Control Engineering Practice, vol. 11, pp. 1099-1111, 2003 https://doi.org/10.1016/S0967-0661(03)00036-4
  4. Y. Halevi and A. Ray, "Integrated communication and control systems: Part I - Analysis," J. of Dynamic Systems, Measurement and Control, vol. 110, pp. 367-373, 1988 https://doi.org/10.1115/1.3152698
  5. L.-W. Liou and A. Ray, "Integrated communication and control systems: Part III - Nonidentical sensor and controller sampling," J. of Dynamic Systems, Measurement and Control, vol. 112, pp. 357-364, 1990 https://doi.org/10.1115/1.2896152
  6. R. Luck and A. Ray, "Experimental verification of a delay compensation algorithm for integrated communication and control systems," Int. J. of Control, vol. 59, no. 6, pp. 1357-1372, 1994 https://doi.org/10.1080/00207179408923135
  7. H. Chan and U. Ozguner, "Closed-loop control of systems over a communications network with queues," Int. J. of Control, vol. 62, no. 3, pp. 493-510, 1995 https://doi.org/10.1080/00207179508921553
  8. J. Nilsson, Real-time Control Systems with Delays, Ph.D. Dissertation, Lund Institute of Technology, 1998
  9. G. C. Walsh, O. Beldiman, and L. Bushnell, "Error encoding algorithms for networked control systems," Proc. of the IEEE Conf. on Decision and Control, vol. 5, pp. 4933-4938, 1996
  10. F. Goktas, Distributed Control of Systems over Communication Networks, Ph.D. Dissertation, University of Pennsylvania, 2000
  11. S. H. Hong, "Scheduling algorithm of data sampling times in the integrated communication and control systems," IEEE Trans. on Control Systems Technology, vol. 3, no. 2, pp. 225-230, 1995 https://doi.org/10.1109/87.388131
  12. S. H. Hong and W.-H. Kim, "Bandwidth allocation scheme in CAN protocol," IEE Proc.- Control Theory and Applications, vol. 147, no. 1, pp. 37-44, 2000 https://doi.org/10.1049/ip-cta:20000126
  13. N. B. Almutairi, M.Y. Chow, and Y. Tipsuwan, "Network-based controlled DC motor with fuzzy compensation," Proc. of the 27th Annual Conf. of the IEEE Industrial Electronics Society, vol. 3, pp. 1844-1849, 2001
  14. G. C. Walsh, O. Beldiman, and L. Bushnell, "Asymptotic behavior of nonlinear networked control systems," IEEE Trans. on Automatic Control, vol. 46, no. 7, pp. 1093-1097, 2001 https://doi.org/10.1109/9.935062
  15. L. A. Montestruque and P. J. Antsaklis, "On the model-based control of networked systems," Automatica, vol. 39, pp. 1837-1843, 2003 https://doi.org/10.1016/S0005-1098(03)00186-9
  16. D. Yue, Q.-L. Han, and C. Peng, "State feedback controller design of networked control systems," IEEE Trans. on Circuits and Systems, vol. 51, no. 11, pp. 640-644, 2004
  17. L. Zhang, Y. Shi, T. Chen, and B. Huang, "A new method for stabilization of networked control systems with random delays," IEEE Trans. on Automatic Control, vol. 50, no. 8, pp. 1177-1181, 2005 https://doi.org/10.1109/TAC.2005.852550
  18. S. Haykin, Neural Networks, Prentice Hall, Upper Saddle River, NJ, 1999
  19. M. Saerens and A. Soquet, "Neural controller based on back-propagation algorithm," IEE Proceedings - F, vol. 138, no. 1, pp. 55-62, 1991
  20. K. Murphy, Dynamic Bayesian Networks: Representation, Inference and Learning, Ph.D. Dissertation, University of California-Berkeley, 2002
  21. H. C. Cho and M. Sami Fadali, "Online estimation of dynamic Bayesian network parameter," Proc. of IEEE World Congress on Computational Intelligence, pp. 6395-6402, 2006
  22. G. F. Franklin, J. D. Powell, and M. L. Workman, Digital Control of Dynamic Systems, Prentice Hall, 1997