Robust Industrial Control Systems: Optimal Design Approach for Polynomial Systems presents a comprehensive introduction to the use of frequency domain and polynomial system design techniques for a range of industrial control and signal processing applications. The solution of stochastic and robust
Homogeneous polynomial forms for robustness analysis of uncertain systems
β Scribed by Graziano Chesi, Andrea Garulli, Alberto Tesi, Antonio Vicino (auth.)
- Publisher
- Springer-Verlag London
- Year
- 2009
- Tongue
- English
- Leaves
- 208
- Series
- Lecture notes in control and information sciences 390
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
From the reviews:
βThe book describes convex optimization techniques to deal with stability and performance evaluation for linear dynamical systems subject to parametric uncertainty. β¦ 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.βΒΒΒ (Didier Henrion, Mathematical Reviews, Issue 2010 g)β¦ Table of Contents
Front Matter....Pages -
Positive Forms....Pages 1-37
Positivity Gap....Pages 39-61
Robustness with Time-varying Uncertainty....Pages 63-97
Robustness with Time-invariant Uncertainty....Pages 99-132
Robustness with Bounded-rate Time-varying Uncertainty....Pages 133-153
Distance Problems with Applications to Robust Control....Pages 155-175
Back Matter....Pages -
β¦ Subjects
Control; Systems Theory, Control; Vibration, Dynamical Systems, Control; Optimization; Control , Robotics, Mechatronics
π SIMILAR VOLUMES
"The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and robust control paradigms, the main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of un
<P>The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and robust control paradigms, the main objective of this book is to introduce the reader to the fundamentals of probabilistic methods in the analysis and design of un