๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Piecewise Linear Control Systems: A Computational Approach

โœ Scribed by Mikael K.-J. Johansson


Publisher
Springer
Year
2002
Tongue
English
Leaves
209
Series
Lecture Notes in Control and Information Sciences
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


This book presents a computational approach to the analysis of nonlinear and uncertain systems. The main focus is systems with piecewise linear dynamics. The class of piecewise linear systems examined has nonlinear, possibly discontinuous dynamics, and allows switching rules that incorporate memory and logic. These systems may exhibit astonishingly complex behaviors. Some aspects of the successful theory of linear systems and quadratic criteria are extended here to piecewise linear systems and piecewise quadratic criteria. The book also describes numerical procedures for assessing stability, computing induced gains, and solving optimal control problems for piecewise linear systems. These developments enable researchers to analyze a large and practically important class of control systems that are not easily dealt with when using other techniques.

โœฆ Table of Contents


Lecture Notesin Control and Information Sciences......Page 1
Piecewise LinearControl Systems......Page 3
Contents......Page 8
1Introduction......Page 10
Piecewise Linear Systems......Page 11
Computational Analysis of Dynamical Systems......Page 12
Philosophy of this Book......Page 15
About This Manuscript......Page 16
Model Representation......Page 18
Solution Concepts......Page 23
Uncertainty Models......Page 30
Modularity and Interconnections......Page 35
Piecewise Linear Function Representations......Page 37
Comments and References......Page 39
Equilibrium Points and the Steady-State Characteristic......Page 41
Constraint Verification and Invariance......Page 44
Detecting Attractive Sliding Modes on Cell Boundaries......Page 46
Comments and References......Page 48
Exponential Stability......Page 50
Quadratic Stability......Page 51
Conservatism of Quadratic Stability......Page 55
From Quadratic to Piecewise Quadratic......Page 57
Interlude: Describing Partition Properties......Page 60
Piecewise Quadratic Lyapunov Functions......Page 64
Analysis of Piecewise Linear Differential Inclusions......Page 70
Analysis of Systems with Attractive Sliding Modes......Page 72
Improving Computational Efficiency......Page 75
Piecewise Linear Lyapunov Functions......Page 81
A Unifying View......Page 86
Comments and References......Page 91
5. Dissipativity Analysis......Page 94
Dissipativity Analysis via Convex Optimization......Page 95
Computation of L2-induced Gain......Page 97
Estimation of Transient Energy......Page 99
Dissipative Systems with Quadratic Supply Rates......Page 100
Comments and References......Page 104
6. Controller Design......Page 105
Quadratic Stabilization of Piecewise Linear Systems......Page 106
Controller Synthesis based on Piecewise Quadratics......Page 107
Comments and References......Page 114
7. Selected Topics......Page 116
Estimation of Regions of Attraction......Page 117
Rigorous Analysis of Smooth Nonlinear Systems......Page 124
Automated Partition Refinements......Page 126
Fuzzy Logic Systems......Page 129
Comments and References......Page 135
8. Linear Hybrid Dynamical Systems......Page 138
Linear Hybrid Dynamical Systems......Page 139
Analysis Using Discontinuous Lyapunov Functions......Page 141
Stability Analysis Using Lyapunov Functionals......Page 144
Comments and References......Page 148
A. Computational Issues......Page 151
C Bibliography......Page 192


๐Ÿ“œ SIMILAR VOLUMES


Piecewise linear control systems: a comp
โœ Johansson M. ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Springer ๐ŸŒ English

This book presents a computational approach to the analysis of nonlinear and uncertain systems. The main focus is systems with piecewise linear dynamics. The class of piecewise linear systems examined has nonlinear, possibly discontinuous dynamics, and allows switching rules that incorporate memory

Piecewise Linear Control Systems: A Comp
โœ Dr. Mikael Johansson (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>2. Piecewise Linear Modeling . . . . . . . . . . . . . . . . . . . . . 9 2. 1 Model Representation . . . . . . . . . . . . . . . . . . . . . 9 2. 2 Solution Concepts . . . . . . . . . . . . . . . . . . . . . . . 2. 3 Uncertainty Models . . . . . . . . . . . . . . . . . . . . . . 2. 4 Modularity a

Piecewise Linear Control Systems: A Comp
โœ Dr. Mikael Johansson (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Springer-Verlag Berlin Heidelberg ๐ŸŒ English

<p>2. Piecewise Linear Modeling . . . . . . . . . . . . . . . . . . . . . 9 2. 1 Model Representation . . . . . . . . . . . . . . . . . . . . . 9 2. 2 Solution Concepts . . . . . . . . . . . . . . . . . . . . . . . 2. 3 Uncertainty Models . . . . . . . . . . . . . . . . . . . . . . 2. 4 Modularity a

Multivariable Computer-Controlled System
โœ Efim N. Rosenwasser, Bernhard P. Lampe ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐ŸŒ English

In this book, the authors extend the parametric transfer function methods, which incorporate time-dependence, to the idea of the parametric transfer matrix in a complete exposition of analysis and design methods for multiple-input, multiple-output (MIMO) sampled-data systems. Appendices covering bas

Operator Approach to Linear Control Syst
โœ A. Cheremensky, V. Fomin (auth.) ๐Ÿ“‚ Library ๐Ÿ“… 1996 ๐Ÿ› Springer Netherlands ๐ŸŒ English

<p>The idea of optimization runs through most parts of control theory. The simplest optimal controls are preplanned (programmed) ones. The problem of constructing optimal preplanned controls has been extensively worked out in literature (see, e. g. , the Pontrjagin maximum principle giving necessary

Multivariable Computer-controlled System
โœ Efim N. Rosenwasser Dr. rer. nat. Dr. Eng., Bernhard P. Lampe Dr. rer. nat. Dr. ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Springer-Verlag London ๐ŸŒ English

<p><P>The transfer function approach is widely used in classical control theory for its easy handling and physical meaning. Although the use of transfer functions is well-established for linear time-invariant systems, it is not suitable for non-stationary systems among which are sampled-data systems