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.
- Introduces probabilistic modeling and explores applications in a wide range of engineering fields
- Identifies and draws on specialized texts and papers published in the literature
- Develops the theoretical underpinnings and covers approximation methods and numerical methods
- Presents material relevant to students in various engineering disciplines as well as professionals in the field
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.
- ISBN10 1466594640
- ISBN13 9781466594647
- Publish Date 23 May 2013
- Publish Status Active
- Publish Country US
- Publisher Taylor & Francis Inc
- Imprint CRC Press Inc
- Edition 2nd New edition
- Format eBook
- Pages 764
- Language English