Overview
- Presents a collection of new methods of control for complex dynamical systems, some of them developed by the authors in the past 15 years
- Includes various engineering systems examples such as robotic manipulators, pendular systems, electromechanical systems, electric motors, or multibody systems with dry friction
- Includes supplementary material: sn.pub/extras
Part of the book series: Communications and Control Engineering (CCE)
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Table of contents (10 chapters)
Reviews
From the reviews:
"This book have been devoted to the control of Lagrangian mechanical systems. … The presentation of the book is mathematical. … the book discovers a number of new and specific control theoretic ideas dedicated to mechanical systems that may arouse interest of control engineering community and provide a research inspiration to robotics community." (Krzysztof Tchon, Zentralblatt MATH, Vol. 1155, 2009)
“This book is for researchers interested in control of nonlinear systems subject to unknown disturbances, containing uncertain parameters, and having several degrees of freedom.” (IEEE Control Systems and Magazine, Vol. 30, June, 2010)
Authors and Affiliations
Bibliographic Information
Book Title: Control of Nonlinear Dynamical Systems
Book Subtitle: Methods and Applications
Authors: Felix L. Chernousko, Igor M. Ananievski, Sergey A. Reshmin
Series Title: Communications and Control Engineering
DOI: https://doi.org/10.1007/978-3-540-70784-4
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-70782-0Published: 27 October 2008
Softcover ISBN: 978-3-642-08970-1Published: 17 November 2010
eBook ISBN: 978-3-540-70784-4Published: 26 September 2008
Series ISSN: 0178-5354
Series E-ISSN: 2197-7119
Edition Number: 1
Number of Pages: XII, 396
Number of Illustrations: 121 b/w illustrations
Topics: Robotics and Automation, Control and Systems Theory, Systems Theory, Control, Control, Robotics, Mechatronics, Complex Systems, Statistical Physics and Dynamical Systems