Positive linear systems : theory and applications /
A complete study on an important class of linear dynamical systems-positive linear systemsOne of the most often-encountered systems in nearly all areas of science and technology, positive linear systems is a specific but remarkable and fascinating class. Renowned scientists Lorenzo Farina and Sergio...
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| Format: | eBook |
| Language: | English |
| Language Notes: | English. |
| Published: |
New York :
Wiley,
©2000.
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| Series: | Pure and applied mathematics (John Wiley & Sons : Unnumbered)
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Front Matter
- Definitions. Introduction
- Definitions and Conditions of Positivity
- Influence Graphs
- Irreducibility, Excitability, and Transparency
- Properties. Stability
- Spectral Characterization of Irreducible Systems
- Positivity of Equilibria
- Reachability and Observability
- Realization
- Minimum Phase
- Interconnected Systems
- Applications. Input₆Output Analysis
- Age-Structured Population Models
- Markov Chains
- Compartmental Systems
- Queueing Systems
- Conclusions
- Annotated Bibliography
- Bibliography
- Appendix A: Elements of Linear Algebra and Matrix Theory
- Appendix B: Elements of Linear Systems Theory
- Index
- Pure and Applied Mathematics.
- 2 Definitions and Conditions of Positivity 7
- 3 Influence Graphs 17
- 4 Irreducibility, Excitability, and Transparency 23
- Part II Properties 33
- 5 Stability 35
- 6 Spectral Characterization of Irreducible Systems 49
- 7 Positivity of Equilibria 57
- 8 Reachability and Observability 65
- 9 Realization 81
- 10 Minimum Phase 91
- 11 Interconnected Systems 101
- Part III Applications 107
- 12 Input-Output Analysis 109
- 13 Age-Structured Population Models 117
- 14 Markov Chains 131
- 15 Compartmental Systems 145
- 16 Queueing Systems 155
- Appendix A Elements of Linear Algebra and Matrix Theory 187
- A.1 Real Vectors and Matrices 187
- A.2 Vector Spaces 189
- A.3 Dimension of a Vector Space 193
- A.4 Change of Basis 195
- A.5 Linear Transformations and Matrices 196
- A.6 Image and Null Space 198
- A.7 Invariant Subspaces, Eigenvectors, and Eigenvalues 201
- A.8 Jordan Canonical Form 207
- A.9 Annihilating Polynomial and Minimal Polynomial 210
- A.10 Normed Spaces 212
- A.11 Scalar Product and Orthogonality 216
- A.12 Adjoint Transformations 221
- Appendix B Elements of Linear Systems Theory 225
- B.1 Definition of Linear Systems 225
- B.2 ARMA Model and Transfer Function 228
- B.3 Computation of Transfer Functions and Realization 231
- B.4 Interconnected Subsystems and Mason's Formula 234
- B.5 Change of Coordinates and Equivalent Systems 237
- B.6 Motion, Trajectory, and Equilibrium 238
- B.7 Lagrange's Formula and Transition Matrix 241
- B.8 Reversibility 244
- B.9 Sampled-Data Systems 244
- B.10 Internal Stability: Definitions 248
- B.11 Eigenvalues and Stability 248
- B.12 Tests of Asymptotic Stability 251
- B.13 Energy and Stability 256
- B.14 Dominant Eigenvalue and Eigenvector 259
- B.15 Reachability and Control Law 260
- B.16 Observability and State Reconstruction 264
- B.17 Decomposition Theorem 268
- B.18 Determination of the ARMA Models 272
- B.19 Poles and Zeros of the Transfer Function 279
- B.20 Poles and Zeros of Interconnected Systems 282
- B.21 Impulse Response 286
- B.22 Frequency Response 288
- B.23 Fourier Transform 293
- B.24 Laplace Transform 296
- B.25 Z-Transform 298
- B.26 Laplace and Z-Transforms and Transfer Functions 300.