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Modelling and Optimization

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Part of the book series: Advances in Simulation ((ADVS.SIMULATION,volume 1))

Abstract

This paper is an attempt to get physical modeling and mathematical optimization somewhat closer together, using the concept of enlarged state space. Here, every influence, assumed to be neither’ exactly known nor totaly random, is described by state variables. This leads automatically to markoff processes in that state space. Furthermore state models can always be formulated so that observables depend only on actual state and — possible — on white time discrete noise.

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Literature

  1. Rollenhagen, F.: Ein Beitrag zur Synthese und Realisierung adaptiver Regelungsalgorithmen Dissertation A, Berlin 1984, Akademie der Wissenschaften der DDR

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© 1988 Akademie-Verlag Berlin

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Schmelovsky, KH. (1988). Modelling and Optimization. In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation I. Advances in Simulation, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-6389-7_14

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  • DOI: https://doi.org/10.1007/978-1-4684-6389-7_14

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-97091-2

  • Online ISBN: 978-1-4684-6389-7

  • eBook Packages: Springer Book Archive

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