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Table of contents (15 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Modeling and Simulation have become endeavors central to all disciplines of science and engineering. They are used in the analysis of physical systems where they help us gain a better understanding of the functioning of our physical world. They are also important to the design of new engineering systems where they enable us to predict the behavior of a system before it is ever actually built. Modeling and simulation are the only techniques available that allow us to analyze arbitrarily non-linear systems accurately and under varying experimental conditions. Continuous System Modeling introduces the student to an important subclass of these techniques. They deal with the analysis of systems described through a set of ordinary or partial differential equations or through a set of difference equations. This volume introduces concepts of modeling physical systems through a set of differential and/or difference equations. The purpose is twofold: it enhances the scientific understanding of our physical world by codifying (organizing) knowledge about this world, and it supports engineering design by allowing us to assess the consequences of a particular design alternative before it is actually built. This text has a flavor of the mathematical discipline of dynamical systems, and is strongly oriented towards Newtonian physical science.
Authors and Affiliations
Bibliographic Information
Book Title: Continuous System Modeling
Authors: François E. Cellier
DOI: https://doi.org/10.1007/978-1-4757-3922-0
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1991
Hardcover ISBN: 978-0-387-97502-3
Softcover ISBN: 978-1-4757-3924-4
eBook ISBN: 978-1-4757-3922-0
Edition Number: 1
Number of Pages: XXVIII, 756
Topics: Mechanical Engineering, Mathematical Modeling and Industrial Mathematics, Mathematical and Computational Engineering, Electrical Engineering, Systems Theory, Control, Calculus of Variations and Optimal Control; Optimization
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