Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems
Citation
G. Chesi, A. Garulli, A. Tesi, A. Vicino. Homogeneous Polynomial Forms
for Robustness Analysis of Uncertain Systems. Springer, 2009
Other
Series: Lecture Notes in Control and Information Sciences
Volume: 390
Pages: 204
ISBN: 978-1-84882-780-6
Abstract
This book
presents a number of techniques for robustness analysis of uncertain
systems. The theoretical basis for their development is derived from the
application of convex optimization tools to problems involving positivity of
homogeneous polynomial forms. Usually, stability and performance analysis of
dynamic systems affected by structured uncertainties, requires the solution
of non-convex optimization problems. Constructing a family of convex
relaxations, namely convex optimisations, can provide upper or lower bound
to the original problem. In this book convex relaxations for several
robustness problems are derived by exploiting and providing new results on
the theory of homogeneous polynomial forms. A framework is introduced for
dealing with positivity of homogeneous forms via the solution of linear
matrix inequalities, with examples including Lyapunov analysis of uncertain
systems, computation of the parametric robust stability margin, and robust
performance analysis for polytopic systems.
Keywords
Control engineering
Hilbert's 17th problem
Robustness analysis
SOS
Time-invariant uncertainty
Time-varying uncertainty
Uncertain systems
Errata
(no errors
detected for the moment being)
Links
Contents
1 Positive Forms
1.1 Forms and Polynomials
1.2 Representation via Power Vectors
1.3 Representation via SMR
1.3.1 Equivalent SMR Matrices
1.3.2 Complete SMR
1.4 SOS Forms
1.4.1 SOS Tests Based on the SMR
1.4.2 SOS Index
1.5 Matrix Forms
1.5.1 SMR ofMatrix Forms
1.5.2 SOSMatrix Forms
1.6 Positive Forms
1.6.1 Positivity Index
1.6.2 Sufficient Condition for
Positivity
1.6.3 PositiveMatrix Forms
1.7 Positive Polynomials on Ellipsoids
1.7.1 Solution via Positivity Test on
a Form
1.7.2 Even Polynomials
1.8 Positive Matrix Polynomials on the Simplex
1.9 Extracting Power Vectors from Linear Spaces
1.9.1 Basic Procedure
1.9.2 Extended Procedure
1.10 Notes and References
2 Positivity Gap
2.1 Hilbert's 17th Problem
2.2 Maximal SMR Matrices
2.2.1 Minimum Eigenvalue
Decomposition
2.2.2 Structure of Maximal SMR
Matrices
2.3 SMR-tight Forms
2.3.1 Minimal Point Set
2.3.2 Rank Conditions
2.4 Characterizing PNS Forms via the SMR
2.4.1 Basic Properties of PNS Forms
2.4.2 Cones of PNS Forms
2.4.3 Parametrization of PNS Forms
2.5 Notes and References
3 Robustness with Time-varying Uncertainty
3.1 Polytopic Systems with Time-varying Uncertainty
3.1.1 Homogeneous Polynomial Lyapunov
Functions
3.1.2 Extended Matrix
3.2 Robust Stability
3.3 Robust Performance
3.3.1 Polytopic Stability Margin
3.3.2 Best Transient Performance
3.4 Rational Parametric Uncertainty
3.4.1 SMR for LFR Systems
3.4.2 Conditions for Robust Stability
3.4.3 Robust Stability Margin for LFR
Systems
3.5 Examples
3.6 Notes and References
4 Robustness with Time-invariant Uncertainty
4.1 Polytopic Systems with Time-invariant Uncertainty
4.2 Robust Stability
4.2.1 Parametrization of HPD-QLFs
4.2.2 Conditions for Robust Stability
4.2.3 Detecting Instability
4.3 Robust Performance
4.3.1 Robust H-infinity Performance
4.3.2 Parametric Stability Margin
4.4 Rational Parametric Uncertainty
4.5 Robustness Analysis via Hurwitz Determinants
4.6 Discrete-time Systems
4.7 Examples
4.8 Notes and References
5 Robustness with Bounded-rate Time-varying Uncertainty
5.1 Polytopic Systems with Bounded-rate Time-varying
Uncertainty
5.2 Robust Stability
5.2.1 Parametrization of HPD-HLFs
5.2.2 Robust Stability Condition
5.3 Robust Stability Margin
5.4 Examples
5.5 Notes and References
6 Distance Problems with Applications to Robust Control
6.1 QuadraticDistance Problems
6.2 Special Cases and Extensions
6.2.1 The Two-form Case
6.2.2 Maximum QDPs
6.3 Conservatism Analysis
6.3.1 a posteriori Test for Tightness
6.3.2 a priori Conditions for
Tightness
6.3.3 An Example of Nontight Lower
Bound
6.4 l-2 Parametric Stability Margin
6.4.1 Continuous-time Systems
6.4.2 Discrete-time Systems
6.5 Notes and References
Appendix
A Basic Tools
A.1 LMI Optimizations
A.2 Hurwitz/SchurMatrices
B SMR Algorithms