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

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

Fethi H. Bellamine, Aymen Gdouda
Copyright: © 2013 |Pages: 24
ISBN13: 9781466639225|ISBN10: 1466639229|EISBN13: 9781466639232
DOI: 10.4018/978-1-4666-3922-5.ch018
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MLA

Bellamine, Fethi H., and Aymen Gdouda. "Numerical Simulation of Distributed Dynamic Systems using Hybrid Tools of Intelligent Computing." Embedded Computing Systems: Applications, Optimization, and Advanced Design, edited by Mohamed Khalgui, et al., IGI Global, 2013, pp. 360-383. https://doi.org/10.4018/978-1-4666-3922-5.ch018

APA

Bellamine, F. H. & Gdouda, A. (2013). Numerical Simulation of Distributed Dynamic Systems using Hybrid Tools of Intelligent Computing. In M. Khalgui, O. Mosbahi, & A. Valentini (Eds.), Embedded Computing Systems: Applications, Optimization, and Advanced Design (pp. 360-383). IGI Global. https://doi.org/10.4018/978-1-4666-3922-5.ch018

Chicago

Bellamine, Fethi H., and Aymen Gdouda. "Numerical Simulation of Distributed Dynamic Systems using Hybrid Tools of Intelligent Computing." In Embedded Computing Systems: Applications, Optimization, and Advanced Design, edited by Mohamed Khalgui, Olfa Mosbahi, and Antonio Valentini, 360-383. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3922-5.ch018

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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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