Automating Data-Driven Modelling of Dynamical Systems An Evolutionary Computation Approach
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Sprache:Englisch
Fr. 191.00
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Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
04.02.2023
Verlag
SpringerSeitenzahl
229
Maße (L/B/H)
23.5/15.5/1.5 cm
Gewicht
394 g
Auflage
1st ed. 2022
Sprache
Englisch
ISBN
978-3-030-90345-9
This book describes a user-friendly, evolutionary algorithms-based framework for estimating data-driven models for a wide class of dynamical systems, including linear and nonlinear ones. The methodology addresses the problem of automating the process of estimating data-driven models from a user’s perspective. By combining elementary building blocks, it learns the dynamic relations governing the system from data, giving model estimates with various trade-offs, e.g. between complexity and accuracy. The evaluation of the method on a set of academic, benchmark and real-word problems is reported in detail. Overall, the book offers a state-of-the-art review on the problem of nonlinear model estimation and automated model selection for dynamical systems, reporting on a significant scientific advance that will pave the way to increasing automation in system identification.
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