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A Pattern Recognition Algorithm Used in Knowledge-Based Adaptive Control System to Select Strategy

  • Krzysztof Brzostowski
  • Jerzy Światek
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4693)

Abstract

In the paper a pattern recognition algorithm in knowledge-based adaptive control system has been discussed. Presented approach based on classifiers, as it is shown, is a useful tool to control non-linear plant with uncertainties. In many cases it is not possible to propose control law. Instead of it expert’s knowledge may be used. The pattern recognition method which is utilized by controller to make a decision allows to manage the stored knowledge effectively. Moreover, the system based on presented methodology works faster which is desirable in Real Time System. The biomedical application has been discussed.

Keywords

Pattern Recognition Learning Sequence Internal Parameter Pattern Recognition Method Pattern Recognition Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Bristol, E.H.: Pattern Recognition: An Alternative to Parameter Identification in Adaptive Control, Automatica, pp. 197–202 (1991)Google Scholar
  2. 2.
    Bubnicki, Z.: Modern Control Theory. Springer, Heidelberg (2005)Google Scholar
  3. 3.
    Frangu, L., Caraman, S., Ceanga, E.: A Pattern Recognition Controller Applied to the Bioprocess Control. In: CSCS13. Proceedings of The 13-th International Conference on Control Systems and Computer Science, pp. 187–191 (2001)Google Scholar
  4. 4.
    Frangu, L., Ceanga, E., Caraman, S., Boutalis, Y.: A Pattern Recognition Approach to Intelligent Behaviours: Switching the Startegies. In: IEEE International Symposium ”Intelligent Systems”, pp. 369–372. IEEE Computer Society Press, Los Alamitos (2002)CrossRefGoogle Scholar
  5. 5.
    Hamrita, T.K., Wang, S.: Pattern Recognition for Modeling and Online Diagnosis of Bioprocesses. IEEE Transactions on Industry Applications, 1295–1299 (2000)Google Scholar
  6. 6.
    James, J.R., Suski, G.J.: A Survey of Some Implementations of Knowledge-Based Systems for Real-Time Control. In: Proceedings of the 27th IEEE Conference on Decision and Control, pp. 580–585. IEEE Computer Society Press, Los Alamitos (1988)CrossRefGoogle Scholar
  7. 7.
    Kushner, H.: Introduction to Stochastic Control, Holt, Rinehart and Winston (1971)Google Scholar
  8. 8.
    Konstantinov, K.B., Yoshida, T.: A Knowledge-Based Pattern Recognition Approach for Real-Time Diagnosis and Control of Fermentation Processes as Variable Structure Plants. IEEE Transactions on Systems, Man, and Cybernetics, 908–914 (1991)Google Scholar
  9. 9.
    Nelles, O.: Nonlinear System Identification - From Classical Approaches to Neural Networks and Fuzzy Models. Springer, Heidelberg (2001)zbMATHGoogle Scholar
  10. 10.
    Saridis, G.N.: Application of Pattern Recognition Methods to Control Systems. IEEE Transactions on Automatic Control, 638–645 (1981)Google Scholar
  11. 11.
    Seif, A.A.: On the Adaptive Pattern Recognition Control. In: Proceedings of CompEuro, Computer Systems and Software Engineering, pp. 706–709 (1992)Google Scholar
  12. 12.
    Sobajic, D.J., Pao, Y.-H., Lee, D.T.: Robust Control of Nonlinear Systems Using Pattern Recognition. In: IEEE International Conference on Systems, Man and Cybernetics, 1989. Conference Proceedings, pp. 315–320. IEEE Computer Society Press, Los Alamitos (1989)CrossRefGoogle Scholar
  13. 13.
    Światek, J.: Two Stage Identification and its Technical and Biomedical Applications. Scientific Papers of the Institute of Control and Systems Engineering of the Wrocław Technical University, Wrocław (1987) (in polish)Google Scholar
  14. 14.
    Światek, J.: Some Problems of Self-Tuning Control via Pattern Recognition. In: Proceeding of the 12th International Conference on Systems Science, Wrocław, vol. 1, pp. 533–538 (1995)Google Scholar
  15. 15.
    Światek, J.: Two-Stage Estimation Algorithms for Adaptive Control. In: Proceedings of the 12th Conference on Systems Engineering, pp. 670–672 (1997)Google Scholar
  16. 16.
    Theodoridis, S., Koutroumbas, K.: Pattern Recognition. Academic Press, Elsevier (2006)Google Scholar
  17. 17.
    Zhang, B.S., Leigh, I., Leigh, J.R.: Learning Control Based on Pattern Recognition Applied to Vehiclecruise Control Systems. In: Proceedings of the American Control Conference, pp. 3101–3105 (1995)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Krzysztof Brzostowski
    • 1
  • Jerzy Światek
    • 1
  1. 1.Institute of Information Science and Engineering, Wrocław University of TechnologyPoland

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