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Computer Aided Prototyping of Repetitive Distributed Control

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Artificial Neural Nets and Genetic Algorithms
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Abstract

This paper addresses the problem of designing the steady-state behavior of a system composed of a set of repetitive processes competing for access to shared resources. Its objective is to provide a tool allowing to prototype a robust distributed control policy as a function of the characteristics of the component processes and dispatching rules involved. The proposed logistics-oriented methodology integrates production routes design, buffers capacity assignment, and allocation of the dispatching rules that control the work-flow as well as allows one to evaluate system’s behavior including its steady state and transient state.

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References

  1. F.G. Baccelli, et al. Synchronization and Linearity, An Algebra for Discrete Event Systems, John Wiley & Sons, Chichester, 1992.

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  2. Z.A. Banaszak, M.B. Zaremba and L.S. Yampolski, Logistics Approach to Repetitive Workflows Modelling. In: J. Jedrzejewski, Innovative and Integrated Manufacturing, Wrocaw University of Technology, 1999, pp. 45–51.

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  3. M. Madry, J. Stanczyk and Z.A. Banaszak, Computer Aided Prototyping of Workflow Control, Scientific Papers of the Institute of Production Engineering and Automation of Wrocaw University of Technology, Vol. 76, 2000, pp. 176–184.

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  4. M.B. Zaremba, K.J. Jedrzejek and Z.A. Banaszak, Design of Steady-State Behaviour of Concurrent Repetitive Processes: An Algebraic Approach. IEEE Trans. on Systems, Man, and Cybernetics, Vol. 28, 2, 1998, pp. 199–212.

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  5. The WWW presentation of the Distributed Control Rapid Prototyping System, http://www.iiz.pz.zgora.pl/ppt/iiz/crp/. 1999.

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© 2001 Springer-Verlag Wien

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Stańczyk, J. (2001). Computer Aided Prototyping of Repetitive Distributed Control. In: Kůrková, V., Neruda, R., Kárný, M., Steele, N.C. (eds) Artificial Neural Nets and Genetic Algorithms. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6230-9_83

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  • DOI: https://doi.org/10.1007/978-3-7091-6230-9_83

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-83651-4

  • Online ISBN: 978-3-7091-6230-9

  • eBook Packages: Springer Book Archive

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