Probabilistic Models for Dynamical Systems

by Haym Benaroya, Seon Mi Han, Mark Nagurka

Now in its second edition, Probabilistic Models for Dynamical Systems expands on the subject of probability theory. Written as an extension to its predecessor, this revised version introduces students to the randomness in variables and time dependent functions, and allows them to solve governing equations. This book provides a suitable resource for self-study and can be used as an all-inclusive introduction to probability for engineering. It presents basic concepts, presents history and insight, and highlights applied probability in a practical manner. With updated information, this edition includes new sections, problems, applications, and examples. Biographical summaries spotlight relevant historical figures, providing life sketches, their contributions, relevant quotes, and what makes them noteworthy. A new chapter on control and mechatronics, and over 300 illustrations rounds out the coverage.

764 pages, Hardcover

First published June 24, 2005

About the author

I am a faculty member in the department of mechanical and aerospace engineering at Rutgers University in New Brunswick, NJ. I specialize in the analysis and design of structures for the aerospace, ocean, space and lunar environments. My recent book is a "history" of the space age written in the year 2169 - and recounts how we became a spacefaring civilization ."