A Bird's Eye View of Nonlinear System Identification

Abstract

This text aims at providing a bird's eye view of system identification with special attention to nonlinear systems. The driving force is to give a feeling for the philosophical problems facing those that build mathematical models from data. Special attention will be given to grey-box approaches in nonlinear system identification. In this text, grey-box methods use auxiliary information such as the system steady-state data, possible symmetries, some bifurcations and the presence of hysteresis. The text ends with a sample of applications. No attempt is made to be thorough nor to survey such an extensive and mature field as system identification. In most parts references will be provided for a more detailed study.

68 pages, 15 figures

References in corpus (2)

• On the smoothness of nonlinear system identification
• Multi-objective Evolutionary Approach to Grey-Box Identification of Buck Converter

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• Multi-objective Evolutionary Approach to Grey-Box Identification of Buck Converter
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