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Real Time Control of Large Scale Systems pp 355–360Cite as

An information approach to large system decomposition

  • III. Decentralized Control Systems
  • Conference paper
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Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 67))

Abstract

Information interactions between elements of a complex system are examined and the general information characteristics are determined. Probability estimations of information relations are treated by entropy of information channels. A criterion for information linkage between different elements is given as a base for a procedure of a large system decomposition. An application software is developed for the proposed method. An example of a real large system decomposition in biotechnological industry is presented.

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References

  1. Emden M. H., Hierarchical Decomposition of Complexity, Machine Intelligence, No5, 1970, Amer.Elsevier,N.Y.

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  2. 1st IFAC Worcshop — Modelling and Control of Biotechnical Process, Abstr., Helsinki, Aug. 17–19,1982.

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Author information

Authors and Affiliations

  1. Department of Automation of Production, Higher Institute of Mechanical and Electrical Engineering, Sofia, Bulgaria

    G. R. Sotirov & D. V. Shivkov

  2. Research Laboratory of Instrumentation and Biological Experiment Automation, Sofia, Bulgaria

    D. P. Filev & K. B. Konstantinov

Authors
  1. G. R. Sotirov
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  2. D. V. Shivkov
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  3. D. P. Filev
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  4. K. B. Konstantinov
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Editor information

Günther Schmidt Madan Singh André Titli Spyros Tzafestas

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© 1985 Springer-Verlag

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Cite this paper

Sotirov, G.R., Shivkov, D.V., Filev, D.P., Konstantinov, K.B. (1985). An information approach to large system decomposition. In: Schmidt, G., Singh, M., Titli, A., Tzafestas, S. (eds) Real Time Control of Large Scale Systems. Lecture Notes in Control and Information Sciences, vol 67. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0008314

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  • DOI: https://doi.org/10.1007/BFb0008314

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-15033-6

  • Online ISBN: 978-3-540-39219-4

  • eBook Packages: Springer Book Archive

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