Computational Aspects of Linear Control
Published on 17. September 2011
Book
Paperback/Softback
X, 295 pages
978-1-4613-7966-9 (ISBN)
Description
Many devices (we say dynamical systems or simply systems) behave like black boxes: they receive an input, this input is transformed following some laws (usually a differential equation) and an output is observed. The problem is to regulate the input in order to control the output, that is for obtaining a desired output. Such a mechanism, where the input is modified according to the output measured, is called feedback. The study and design of such automatic processes is called control theory. As we will see, the term system embraces any device and control theory has a wide variety of applications in the real world. Control theory is an interdisci plinary domain at the junction of differential and difference equations, system theory and statistics. Moreover, the solution of a control problem involves many topics of numerical analysis and leads to many interesting computational problems: linear algebra (QR, SVD, projections, Schur complement, structured matrices, localization of eigenvalues, computation of the rank, Jordan normal form, Sylvester and other equations, systems of linear equations, regulariza tion, etc), root localization for polynomials, inversion of the Laplace transform, computation of the matrix exponential, approximation theory (orthogonal poly nomials, Pad6 approximation, continued fractions and linear fractional transfor mations), optimization, least squares, dynamic programming, etc. So, control theory is also a. good excuse for presenting various (sometimes unrelated) issues of numerical analysis and the procedures for their solution. This book is not a book on control.
Reviews / Votes
From the reviews:"[...]there are very few books, if any, which combine control theory and relevant numerical techniques. The present book under review, Computational Aspects of Linear Control , by Claude Brezinski, is exactly such a book."
(Ezra Zeheb, Technion-Israel Institute of Technology)
More details
Series
Edition
Softcover reprint of the original 1st ed. 2002
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
X, 295 p.
Dimensions
Height: 240 mm
Width: 160 mm
Thickness: 17 mm
Weight
495 gr
ISBN-13
978-1-4613-7966-9 (9781461379669)
DOI
10.1007/978-1-4613-0261-2
Schweitzer Classification
Other editions
Additional editions
Claude Brezinski
Computational Aspects of Linear Control
Book
06/2002
Kluwer Academic Publishers
€106.99
Shipment within 15-20 days
Person
Claude Brezinski is professor emeritus of mathematics at the University of Lille (France), where he has been head of the Laboratory of Numerical Analysis and Optimization for 30 years. He was the advisor of 60 doctoral students. Prof. Brezinski is founder and Editor-in-Chief of the Numerical Algorithms journal and author of over 240 papers and several books.
Michela Redivo-Zaglia is professor of numerical analysis at the University of Padua (Italy). She has been vice-director of the Department of Mathematics for three years. She is a member of the Editorial Board of several journals. She published software packages, 7 scientific and didactic books, and about 80 papers. She was the organizer of many international congresses, and an invited speaker at several more.
Content
1. Control of Linear Systems.- 1 The control problem.- 2 Examples.- 3 Basic notions and results.- 4 Controllability.- 5 Observability.- 6 The canonical representation.- 7 Realization.- 8 Model reduction.- 9 Stability analysis.- 10 Poles and zeros.- 11 Decoupling.- 12 State estimation.- 13 Geometric theory.- 14 Solving the control problem.- 15 Effects of finite precision.- 2. Formal Orthogonal Polynomials.- 1 Definition and properties.- 2 Matrix interpretation.- 3 Adjacent families.- 4 Biorthogonal polynomials.- 5 Vector orthogonal polynomials.- 3. Padé Approximations.- 1 Preliminaries.- 2 Padé-type approximants.- 3 Padé approximants.- 4 Error estimation.- 5 Generalizations.- 6 Approximations to the exponential.- 4. Transform Inversion.- 1 Laplace transform.- 2 z-transform.- 5. Linear Algebra Issues.- 1 Singular value decomposition.- 2 Schur complement.- 3 The bordering method.- 4 Determinantal identities.- 5 Hankel matrices and related topics.- 6 Stable matrices.- 7 Recursive projection.- 6. Lanczos Tridiagonalization Process.- 1 The tridiagonalization process.- 2 The non-Hermitian Lanczos process.- 7. Systems of Linear Algebraic Equations.- 1 The method of Arnoldi.- 2 Lanczos method.- 3 Implementation of Lanczos method.- 4 Preconditioning.- 5 Transpose-free algorithms.- 6 Breakdowns.- 7 Krylov subspace methods.- 8 Hankel and Toeplitz systems.- 9 Error estimates for systems of linear equations.- 8. Regularization of Ill-Conditioned Systems.- 1 Introduction.- 2 Analysis of the regularized solutions.- 3 The symmetric positive definite case.- 4 Rational extrapolation procedures.- 9. Sylvester and Riccati Equations.- 1 Sylvester equation.- 2 Riccati equation.- 10. Topics on Nonlinear Differential Equations.- 1 Integrable systems.- 2 Connection to convergenceacceleration.- 11. Appendix: The Mathematics of Model Reduction.- 1 Model reduction by projection.- 2 Matrix interpretation.- 3 Increasing the dimension.- 4 Construction of the projection.- 5 Transfer function matrices.