
Continuous System Modeling
Springer (Publisher)
Published on 23. May 1991
Book
Hardback
XXVIII, 756 pages
978-0-387-97502-3 (ISBN)
Description
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.
More details
Edition
1st ed. 1991. Corr. 2nd printing 1991
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XXVIII, 756 p.
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 48 mm
Weight
1335 gr
ISBN-13
978-0-387-97502-3 (9780387975023)
DOI
10.1007/978-1-4757-3922-0
Schweitzer Classification
Other editions
Additional editions

François E. Cellier | Jurgen Greifeneder
Continuous System Modeling
Book
01/2013
Springer
€106.99
Shipment within 15-20 days
Content
1 Introduction, Scope, and Definitions.- 2 Basic Principles of Continuous System Modeling.- 3 Principles of Passive Electrical Circuit Modeling.- 4 Principles of Planar Mechanical System Modeling.- 5 Hierarchical Modular Modeling of Continuous Systems.- 6 Principles of Active Electrical Circuit Modeling.- 7 Bond Graph Modeling.- 8 Modeling in Nonequilibrium Thermodynamics.- 9 Modeling Chemical Reaction Kinetics.- 10 Population Dynamics Modeling.- 11 System Dynamics.- 12 Naïve Physics.- 13 Inductive Reasoning.- 14 Artificial Neural Networks and Genetic Algorithms.- 15 Automated Model Synthesis.