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Summary

This chapter formulates a signed real measure of sublanguages of a regular language based on the principles of automata theory and real analysis. The measure allows total ordering of a set of partially ordered sublanguages of the regular language for quantitative evaluation of the controlled behavior of deterministic finite state automata (DFSA) under different supervisors. In the setting of the language measure, a supervisor’s performance is superior if the supervised plant is more likely to terminate at a good marked state and/or less likely to terminate at a bad marked state. The computational complexity of the language measure algorithm is polynomial in the number of DFSA states.

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References

  1. C.G. Cassandras and S. Lafortune, Introducrion to discrete event systems, Kluwer Academic, 1999.

    Google Scholar 

  2. A. Doucet, S. Godsill, and C. Andrieu, On sequential monte carlo sampling methods for bayesian filtering, Statistics and Computing 10 (2000), no. 3, 197–208.

    Article  Google Scholar 

  3. V. Drobot, Formal languages and automata theory, Computer Science Press, 1989.

    Google Scholar 

  4. J. Fu, A. Ray, and C.M. Lagoa, Optimal control of regular languages with event disabling cost, Proceedings of American Control Conference, Denver, Colorado, June 2003, pp. 1691–1695.

    Google Scholar 

  5. J. Fu, A. Ray, and C.M. Lagoa, Unconstrained optimal control of regular languages, Automatica 40 (2004), no. 4, 639–648.

    Article  MATH  MathSciNet  Google Scholar 

  6. P.R. Halmos, Measure theory, 2nd ed., Springer-Verlag, 1974.

    Google Scholar 

  7. J. E. Hopcroft, R. Motwani, and J. D. Ullman, Introduction to automata theory, languages, and computation, 2nd ed., Addison-Wesley, 2001.

    Google Scholar 

  8. R. Kumar and V. Garg, Modeling and control of logical discrete event systems, Kluwer Academic, 1995.

    Google Scholar 

  9. J. C. Martin, Introduction to languages and the theory of computation, 2nd ed., McGraw-Hill, 1997.

    Google Scholar 

  10. A.W. Naylor and G.R. Sell, Linear operator theory in engineering and science, Springer-Verlag, 1982.

    Google Scholar 

  11. S. Phoha, E. Peluso, and R.L. Culver, A high fidelity ocean sampling mobile network (samon) simulator, IEEE Journal of Oceanic Engineering, Special Issue on Autonomous Ocean Sampling Networks 26 (2002), no. 4, 646–653.

    Google Scholar 

  12. R. J. Plemmons and A. Berman, Nonnegative matrices in the mathematical science, Academic Press, New York, 1979.

    Google Scholar 

  13. M. Pradhan and P. Dagum, Optimal monte carlo estimation of belief network inference, Twelfth Conference on Uncertainty in Artificial Intelligence (Portland, OR), 1996, pp. 446–453.

    Google Scholar 

  14. P.J. Ramadge and W.M. Wonham, Supervisory control of a class of discrete event processes, SIAM J. Control and Optimization 25 (1987), no. 1, 206–230.

    Article  MATH  MathSciNet  Google Scholar 

  15. A. Ray and S. Phoha, Signed real measure of regular languages for discrete-event automata, Int. J. Control 76 (2003), no. 18, 1800–1808.

    Article  MATH  MathSciNet  Google Scholar 

  16. W. Rudin, Real and complex analysis, 3rd ed., McGraw-Hill, New York, 1987.

    MATH  Google Scholar 

  17. E. Senata, Non-negative matrices, John Wiley, New York, 1973.

    Google Scholar 

  18. R. Sengupta and S. Lafortune, An optimal control theory for discrete event systems, SIAM J. Control and Optimization 36 (1998), no. 2, 488–541.

    Article  MATH  MathSciNet  Google Scholar 

  19. A. Surana and A. Ray, Signed real measure of regular languages, Demonstratio Mathematica 37 (2004), no. 2, 485–503.

    MATH  MathSciNet  Google Scholar 

  20. X. Wang and A. Ray, A language measure for performance evaluation of discrete-event supervisory control systems, Applied Mathematical Modelling 28 (2004), no. 9, 817–833.

    Article  MATH  Google Scholar 

  21. X. Wang, A. Ray, S. Phoha, and J. Liu, J-des: A graphical interactive package for analysis and synthesis of discrete event systems, Proceedings of American Control Conference (Denver, Colorado), June 2003, pp. 3405–3410.

    Google Scholar 

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Ray, A., Wang, X. (2005). Signed Real Measure of Regular Languages. In: Ray, A., Phoha, V.V., Phoha, S.P. (eds) Quantitative Measure for Discrete Event Supervisory Control. Springer, New York, NY. https://doi.org/10.1007/0-387-23903-0_1

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  • DOI: https://doi.org/10.1007/0-387-23903-0_1

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-02108-9

  • Online ISBN: 978-0-387-23903-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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