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๐Ÿ“

Deterministic Identification of Dynamical Systems

โœ Scribed by Dr. C. Heij (eds.)


Publisher
Springer-Verlag Berlin Heidelberg
Year
1989
Tongue
English
Leaves
298
Series
Lecture Notes in Control and Information Sciences 127
Edition
1
Category
Library

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โœฆ Synopsis


In deterministic identification the identified system is determined on the basis of a complexity measure of models and a misfit measure of models with respect to data. The choice of these measures and corresponding notions of optimality depend on the objectives of modelling. In this monograph, the cases of exact modelling, model reduction and approximate modelling are investigated. For the case of exact modelling a procedure is presented which is inspired by objectives of simplicity and corroboration. This procedure also gives a new solution for the partial realization problem. Further, appealing measures of complexity and distance for linear systems are defined and explicit numerical expressions are derived. A simple and new procedure for approximating a given system by one of less complexity is described. Finally, procedures and algorithms for deterministic time series analysis are presented. The procedures and algorithms are illustrated by simple examples and by numerical simulations.

โœฆ Table of Contents


Introduction....Pages 1-13
Deterministic modelling....Pages 14-55
Exact modelling....Pages 56-88
Model approximation....Pages 89-124
Approximate modelling....Pages 125-211
Conclusions....Pages 212-213

โœฆ Subjects


Control Engineering;Appl.Mathematics/Computational Methods of Engineering;Communications Engineering, Networks;Systems Theory, Control;Calculus of Variations and Optimal Control;Optimization


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