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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