Computational Aspects of Linear Control

• 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.

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)