Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach (Springer Theses)

Khandelwal, Dhruv

ISBN 10: 3030903451 / ISBN 13: 9783030903459

Editore: Springer, 2023

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252 pages. 9.25x6.10x0.54 inches. In Stock.

Codice articolo x-3030903451

Dati bibliografici

• Titolo: Automating Data-Driven Modelling of Dynamical Systems: An Evolutionary Computation Approach (Springer Theses)
• Editore: Springer
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 3030903451
• ISBN 13: 9783030903459
• Rilegatura: Paperback
• Condizione: Brand New

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Riassunto

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.