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Automating data-driven modelling of dynamical systems : an evolutionary computation approach / Dhruv Khandelwal.

9783030903435 (electronic bk.)
3030903435 (electronic bk.)
9783030903428
3030903427

Cham : Springer, [2022]

©2022

English

1 online resource : illustrations (some color).

10.1007/978-3-030-90343-5 doi

QA845 .K53 2022

620.1/0540285

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 users 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.

"Doctoral thesis accepted by Eindhoven University of Technology, Eindhoven, The Netherlands."

Includes bibliographical references.

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