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A feasible solution to dynamic team problems with a common past and application to decentralized dynamic routing

  • Part. II — Stochastic Optimization
  • Conference paper
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Stochastic Programming

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 76))

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Abstract

Decentralized dynamic routing in communication networks is dealt with in the paper. A procedure to find the optimal solution over a finite control horizon is given and then the structure of the optimal control law is investigated. Finally, a receding horizon control scheme is proposed whose application is made possible by the existence of a sufficient statistic.

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References

  1. A. Segall, The modeling of Adaptive Routing in Data Communication Networks, IEEE Trans. Comm., Vol. COM-25, pp. 85–95, 1977.

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  8. G. Casalino, F. Davoli, R. Minciardi and R. Zoppoli, Sufficient Statistics in Team Control Problems with a Common Past, Proc. 21st IEEE Conf. on Dec. & Control, Orlando, Florida, pp. 186–190, 1982.

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Authors and Affiliations

  1. Istituto di Elettrotecnica, Università di Genova, Viale F. Causa, 13, 16145, Genova, Italy

    G. Casalino, F. Davoli, R. Minciardi & R. Zoppoli

Authors
  1. G. Casalino
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  2. F. Davoli
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  3. R. Minciardi
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  4. R. Zoppoli
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Editor information

F. Archetti G. Di Pillo M. Lucertini

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© 1986 Springer-Verlag

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Casalino, G., Davoli, F., Minciardi, R., Zoppoli, R. (1986). A feasible solution to dynamic team problems with a common past and application to decentralized dynamic routing. In: Archetti, F., Di Pillo, G., Lucertini, M. (eds) Stochastic Programming. Lecture Notes in Control and Information Sciences, vol 76. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0006870

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  • DOI: https://doi.org/10.1007/BFb0006870

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-16044-1

  • Online ISBN: 978-3-540-39729-8

  • eBook Packages: Springer Book Archive

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