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
Bristol, E.H.: Pattern Recognition: An Alternative to Parameter Identification in Adaptive Control, Automatica, pp. 197–202 (1991)
Bubnicki, Z.: Modern Control Theory. Springer, Heidelberg (2005)
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)
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)
Hamrita, T.K., Wang, S.: Pattern Recognition for Modeling and Online Diagnosis of Bioprocesses. IEEE Transactions on Industry Applications, 1295–1299 (2000)
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)
Kushner, H.: Introduction to Stochastic Control, Holt, Rinehart and Winston (1971)
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)
Nelles, O.: Nonlinear System Identification - From Classical Approaches to Neural Networks and Fuzzy Models. Springer, Heidelberg (2001)
Saridis, G.N.: Application of Pattern Recognition Methods to Control Systems. IEEE Transactions on Automatic Control, 638–645 (1981)
Seif, A.A.: On the Adaptive Pattern Recognition Control. In: Proceedings of CompEuro, Computer Systems and Software Engineering, pp. 706–709 (1992)
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)
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)
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)
Światek, J.: Two-Stage Estimation Algorithms for Adaptive Control. In: Proceedings of the 12th Conference on Systems Engineering, pp. 670–672 (1997)
Theodoridis, S., Koutroumbas, K.: Pattern Recognition. Academic Press, Elsevier (2006)
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)
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Brzostowski, K., Światek, J. (2007). A Pattern Recognition Algorithm Used in Knowledge-Based Adaptive Control System to Select Strategy. In: Apolloni, B., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2007. Lecture Notes in Computer Science(), vol 4693. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74827-4_32
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DOI: https://doi.org/10.1007/978-3-540-74827-4_32
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