Numerical Simulation of Distributed Dynamic Systems using Hybrid Tools of Intelligent Computing

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Author(s): Fethi H. Bellamine (University of Waterloo, Canada & National Institute of Applied Sciences and Technologies, Tunisia)and Aymen Gdouda (National Institute of Applied Sciences and Technologies, Tunisia)
Copyright: 2013
Pages: 24
Source title: Embedded Computing Systems: Applications, Optimization, and Advanced Design
Source Author(s)/Editor(s): Mohamed Khalgui (Xidian University, China), Olfa Mosbahi (University of Carthage, Tunisia)and Antonio Valentini (O3neida Europe, Belgium)
DOI: 10.4018/978-1-4666-3922-5.ch018

Keywords: Computer Science & IT / Information Science Reference / Systems & Software Design / Systems and Software Engineering

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Abstract

Developing fast and accurate numerical simulation models for predicting, controlling, designing, and optimizing the behavior of distributed dynamic systems is of interest to many researchers in various fields of science and engineering. These systems are described by a set of differential equations with homogenous or mixed boundary constraints. Examples of such systems are found, for example, in many networked industrial systems. The purpose of the present work is to review techniques of hybrid soft computing along with generalized scaling analysis for the solution of a set of differential equations characterizing distributed dynamic systems. The authors also review reduction techniques. This paves the way to control synthesis of real-time robust realizable controllers.

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Numerical Simulation of Distributed Dynamic Systems using Hybrid Tools of Intelligent Computing

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