Dhruv Khandelwal

Automating Data-Driven Modelling of Dynamical Systems

An Evolutionary Computation Approach

• Gebundenes Buch

Produktbeschreibung

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.

Produktdetails

• Springer Theses
• Verlag: Springer / Springer International Publishing / Springer, Berlin
• Artikelnr. des Verlages: 978-3-030-90342-8
• 1st ed. 2022
• Seitenzahl: 256
• Erscheinungstermin: 4. Februar 2022
• Englisch
• Abmessung: 241mm x 160mm x 20mm
• Gewicht: 553g
• ISBN-13: 9783030903428
• ISBN-10: 3030903427
• Artikelnr.: 62639527

Inhaltsangabe

Introduction.- The State-of-the-art.- Preliminaries - Evolutionary Algorithms.- Tree Adjoining Grammar.- Performance measures.

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Introduction.- The State-of-the-art.- Preliminaries - Evolutionary Algorithms.- Tree Adjoining Grammar.- Performance measures.