Evolutionary Computing Approaches to System Identification

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Author(s): Bidyadhar Subudhi (NIT Rourkela, India)and Debashisha Jena (National Institute of Technology, India)
Copyright: 2016
Pages: 40
Source title: Handbook of Research on Computational Intelligence Applications in Bioinformatics
Source Author(s)/Editor(s): Sujata Dash (North Orissa University, India)and Bidyadhar Subudhi (National Institute of Technology, India)
DOI: 10.4018/978-1-5225-0427-6.ch015

Keywords: Artificial Intelligence / Bioinformatics / Computer Science & IT / Medical Information Science Reference

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Abstract

In this chapter, we describe an important class of engineering problem called system identification which is an essential requirement for obtaining models of system of concern that would be necessary for controlling, analyzing the systems. The system identification problem is essentially to pick up the best model out of the several candidate models. Thus, the problem of system identification or modeling building turns out to be an optimization problem. The chapter explain what are different evolutionary computing techniques used in the past and the state- of the art technologies on evolutionary computation. Then, some case studies have been included how the system identification of a number of complex systems effectively achieved by employing these evolutionary computing techniques.

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