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What is System Identification

Handbook of Research on Computational Intelligence Applications in Bioinformatics
System Identification is model building procedure using the data set of a physical system.
Published in Chapter:
Evolutionary Computing Approaches to System Identification
Bidyadhar Subudhi (NIT Rourkela, India) and Debashisha Jena (National Institute of Technology, India)
DOI: 10.4018/978-1-5225-0427-6.ch015
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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Adaptive Query Processing in Data Grids
Is a dynamical mathematical model in this context is a mathematical description of the dynamic behavior of a system or process in either the time or frequency domain. Usually, it is started from measurements of the behavior of the system and the external influences (inputs to the system) and try to determine a mathematical relation between them without going into the details of what is actually happening inside the system. Commonly used models include grey box model and black box model.
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Optimization of Condensed Stiffness Matrices for Structural Health Monitoring
The process of constructing models from experimental data.
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Systems and Control Theory for Medical Systems Biology
The analysis of time course data from a system in order to deduce the nature of the system and the values of parameters that could be used in a mathematical model to reproduce the time course data in simulation.
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