Linear Matrix Inequalities in System and Control Theory
In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only are polynomial-time but also work very well in practice; the reduction therefore can be considered a solution to the original problems. This book opens up an important new research area in which convex optimization is combined with system and control theory, resulting in the solution of a large number of previously unsolved problems.
Product details
No date availablePaperback
9780898714852
203 pages
255 × 180 × 15 mm
0.443kg
Table of Contents
- Preface
- 1. Introduction
- Overview
- A Brief History of LMIs in Control Theory
- Notes on the Style of the Book
- Origin of the Book
- 2. Some Standard Problems Involving LMIs. Linear Matrix Inequalities
- Some Standard Problems
- Ellipsoid Algorithm
- Interior-Point Methods
- Strict and Nonstrict LMIs
- Miscellaneous Results on Matrix Inequalities
- Some LMI Problems with Analytic Solutions
- 3. Some Matrix Problems. Minimizing Condition Number by Scaling
- Minimizing Condition Number of a Positive-Definite Matrix
- Minimizing Norm by Scaling
- Rescaling a Matrix Positive-Definite
- Matrix Completion Problems
- Quadratic Approximation of a Polytopic Norm
- Ellipsoidal Approximation
- 4. Linear Differential Inclusions. Differential Inclusions
- Some Specific LDIs
- Nonlinear System Analysis via LDIs
- 5. Analysis of LDIs: State Properties. Quadratic Stability
- Invariant Ellipsoids
- 6. Analysis of LDIs: Input/Output Properties. Input-to-State Properties
- State-to-Output Properties
- Input-to-Output Properties
- 7. State-Feedback Synthesis for LDIs. Static State-Feedback Controllers
- State Properties
- Input-to-State Properties
- State-to-Output Properties
- Input-to-Output Properties
- Observer-Based Controllers for Nonlinear Systems
- 8. Luré and Multiplier Methods. Analysis of Luré Systems
- Integral Quadratic Constraints
- Multipliers for Systems with Unknown Parameters
- 9. Systems with Multiplicative Noise. Analysis of Systems with Multiplicative Noise
- State-Feedback Synthesis
- 10. Miscellaneous Problems. Optimization over an Affine Family of Linear Systems
- Analysis of Systems with LTI Perturbations
- Positive Orthant Stabilizability
- Linear Systems with Delays
- Interpolation Problems
- The Inverse Problem of Optimal Control
- System Realization Problems
- Multi-Criterion LQG
- Nonconvex Multi-Criterion Quadratic Problems
- Notation
- List of Acronyms
- Bibliography
- Index.