Overview
- Allows the reader to increase the robustness of control systems subject to uncertainties thanks to striking advances in convex optimization
- Draws together a number of well-established tools in control and system theory so that the reader can see how they interact and make use of all of them in an appropriate balance
Part of the book series: Lecture Notes in Control and Information Sciences (LNCIS, volume 390)
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Table of contents (6 chapters)
Keywords
Reviews
From the reviews:
“The book describes convex optimization techniques to deal with stability and performance evaluation for linear dynamical systems subject to parametric uncertainty. … In summary, the book is a welcome and timely addition to the technical literature, written by leading experts in the field. It is aimed at systems and control researchers willing to explore further than mainstream LMI Lyapunov analysis techniques, with the possibility of trading off between conservatism and computational burden.” (Didier Henrion, Mathematical Reviews, Issue 2010 g)Authors and Affiliations
Bibliographic Information
Book Title: Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems
Authors: Graziano Chesi, Andrea Garulli, Alberto Tesi, Antonio Vicino
Series Title: Lecture Notes in Control and Information Sciences
DOI: https://doi.org/10.1007/978-1-84882-781-3
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2009
Softcover ISBN: 978-1-84882-780-6Published: 21 July 2009
eBook ISBN: 978-1-84882-781-3Published: 13 July 2009
Series ISSN: 0170-8643
Series E-ISSN: 1610-7411
Edition Number: 1
Number of Pages: XVIII, 198
Number of Illustrations: 17 b/w illustrations
Topics: Control and Systems Theory, Optimization, Algebra, Systems Theory, Control, Vibration, Dynamical Systems, Control, Control, Robotics, Mechatronics