Mathematics For Dynamic Modeling / Edition 2

Mathematics For Dynamic Modeling / Edition 2

by Edward Beltrami
     
 

ISBN-10: 0120855666

ISBN-13: 9780120855667

Pub. Date: 09/01/1997

Publisher: Elsevier Science

This new edition of Mathematics for Dynamic Modeling updates a widely used and highly-respected textbook. The text is appropriate for upper-level undergraduate and graduate level courses in modeling, dynamical systems, differential equations, and linear multivariable systems offered in a variety of departments including mathematics, engineering, computer

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Overview

This new edition of Mathematics for Dynamic Modeling updates a widely used and highly-respected textbook. The text is appropriate for upper-level undergraduate and graduate level courses in modeling, dynamical systems, differential equations, and linear multivariable systems offered in a variety of departments including mathematics, engineering, computer science, and economics. The text features many different realistic applications from a wide variety of disciplines.
The book covers important tools such as linearization, feedback concepts, the use of Liapunov functions, and optimal control. This new edition is a valuable tool for understanding and teaching a rapidly growing field. Practitioners and researchers may also find this book of interest.

• Contains a new chapter on stability of dynamic models
• Covers many realistic applications from a wide variety of fields in an accessible manner
• Provides a broad introduction to the full scope of dynamical systems
• Incorporates new developments such as new models for chemical reactions and autocatalysis
• Integrates MATLAB throughout the text in both examples and illustrations
• Includes a new introduction to nonlinear differential equations

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Product Details

ISBN-13:
9780120855667
Publisher:
Elsevier Science
Publication date:
09/01/1997
Edition description:
REV
Pages:
236
Product dimensions:
0.69(w) x 6.00(h) x 9.00(d)

Table of Contents

Simple Dynamic Models.
Ordinary Differential Equations.
Stability of Dynamic Models.
There is a Better Way.
Motion in Time and Space.
Cycles and Bifurcation.
Bifurcation and Catastrophe.
Chaos.
References.
Notes.
Index.

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