Mathematics for Dynamic Modeling

Covers tools such as linearization, feedback concepts, the use of Liapunov functions, and optimal control. This work includes stability of dynamic models, and provides an introduction to the scope of dynamical systems, and nonlinear differential equations. It also incorporates developments such as models for chemical reactions and autocatalysis.
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.

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