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An Approach to Centralized Control Systems Based on Cellular Automata

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Computational Intelligence in Security for Information Systems

Abstract

Computational Intelligence (CI) embraces techniques that use Fractals and Chaos Theory, Artificial immune systems, Wavelets, etc. CI combines elements of learning, adaptation and evolution to create programs that are, in some sense, intelligent. Cellular Automata is an element of Fractals and Chaos Theory that is adaptive and evolutionary, so we are interested in using this approach for solving problems of centralized control. The main objective of the paper is to present the cellular automata as a model of centralized control of dynamic systems. Any dynamic system is subjected to conditions of internal and external behavior that modify its operation and control. This implies that the system can be observable and controllable. The authors take on the task of analysis of an example control traffic system. For the approach, is proposed a one-dimensional cellular automaton in an open-loop scheme.

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References

  1. Schiff, J.L.: Cellular Automata: A Discrete View of the World. Wiley & Sons, Inc., Chichester

    Google Scholar 

  2. Chopard, B., Droz, M.: Cellular Automata Modeling of Physical Systems. Cambridge University Press, Cambridge (1998)

    Book  MATH  Google Scholar 

  3. Kuo, B.C.: Automatic Control Systems, 6th edn. Prentice-Hall, Englewood Cliffs (1991)

    Google Scholar 

  4. Chandrasekharan, P.C.: Robust Control of Linear Dynamical Systems. Academic Press, London (1996)

    Google Scholar 

  5. Ogata, K.: Modern Control Engineering. Prentice-Hall, Englewood Cliffs (1993)

    Google Scholar 

  6. Wolf, D.E., Schreckenberg, M., Bachem, A. (eds.): Workshop in Traffic and Granular Flow. World Scientific, Singapore (1996)

    Google Scholar 

  7. Wolfram, S.: Theory and Applications of Cellular Automata. World Scientific, Singapore (1986)

    MATH  Google Scholar 

  8. Biham, O., Middleton, A.A., Levine, D.: Self-organization and a dynamic transition in traffic-flow models. Physical Review A 46, R6124–R6127 (1992)

    Article  Google Scholar 

  9. Lieu, H.: Traffic-Flow Theory. Public Roads, US Dept. of Transportation 62(4) (January/February 1999)

    Google Scholar 

  10. May, A.: Traffic Flow Fundamentals. Prentice Hall, Englewood Cliffs (1990)

    Google Scholar 

  11. Dorf, R.C., Bishop, R.H.: Modern Control Systems. Addison-Wesley, Reading (1998)

    MATH  Google Scholar 

  12. D’azzo, J.J., Houpis, C.H.: Linear Control System Analysis and Design. McGraw-Hill, New York (1995)

    Google Scholar 

  13. Phillips, C.L., Harbor, R.D.: Feedback Control Systemas. Prentice-Hall, Englewood Cliffs (1988)

    Google Scholar 

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Palma-Orozco, R., Palma-Orozco, G., de Jesús Medel-Juárez, J., Jiménez-Benítez, J.A. (2009). An Approach to Centralized Control Systems Based on Cellular Automata. In: Herrero, Á., Gastaldo, P., Zunino, R., Corchado, E. (eds) Computational Intelligence in Security for Information Systems. Advances in Intelligent and Soft Computing, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04091-7_23

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  • DOI: https://doi.org/10.1007/978-3-642-04091-7_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04090-0

  • Online ISBN: 978-3-642-04091-7

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