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
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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
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