Previous |  Up |  Next

Article

Keywords:
discrete event system; recognition of noisy; incomplete structural patterns
Summary:
An interesting analogy can be found between recognition of noisy, distorted, or incomplete structural patterns and analysis, modelling and control of actual discrete event systems, where different types of uncertainty can occur.
References:
[1] Bunke H., Csirik J.: Inference of edit costs using parametric string matching, In: Proc. of the 11th IAPR Int. Conf. on Pattern Recognition, The Hague 1992, Vol. 2, pp. 549–552
[2] Cieslak R., Desclaux C., Fawaz A. S., Varaiya P. P.: Supervisory control of discrete–event processes with partial observations. IEEE Trans. Automat, Control AC-33 (1988), 3, 249–260 DOI 10.1109/9.402 | Zbl 0639.93041
[3] Lu S. Y., Fu K. S.: Stochastic error–correcting syntax analysis for recognition of noisy patterns: IEEE Trans. Comput. C-26 (1977), 12, 1268–1276 MR 0660293
[4] Pik J.: An event deformation model and its application. In: Proc. of the Workshop on Discrete Event Systems, WODES’96, IEE, London 1996, pp. 352–355
[5] Pik J.: Incorrect observations in failure diagnosis of discrete event systems. In: Proc. of the 4th IFAC Workshop on Intelligent Manufacturing Systems, IMS’97, ICASE, Seoul 1997, pp. 203–206
[6] Sampath M., Lafortune S., Teneketzis D.: A language–based approach to failure diagnosis of discrete event systems. In: Proc. of the Workshop on Discrete Event Systems, WODES’96, IEE, London 1996, pp. 261–271
[7] Varaiya P., (eds.) A. B. Kurzhanski: Discrete Event Systems : Models and Applications, IIASA Conf. Sopron 1987, Lecture Notes in Control and Information Sciences 103, Springer-Verlag, New York 1988 MR 0947964
[8] Young S., Garg V. K.: Transition uncertainty in discrete event systems. In: Workshop on Discrete Event Systems, Amherst 1991
Partner of
EuDML logo