Cover image for Advanced Mathematical Tools for Control Engineers : Deterministic Systems.
Advanced Mathematical Tools for Control Engineers : Deterministic Systems.
Title:
Advanced Mathematical Tools for Control Engineers : Deterministic Systems.
Author:
Poznyak, Alex.
ISBN:
9780080556109
Personal Author:
Physical Description:
1 online resource (803 pages)
Contents:
Front Cover -- Advanced Mathematical Tools for Automatic Control Engineers -- Copyright Page -- Table of Contents -- Preface -- Notations and Symbols -- List of Figures -- Part I: Matrices and Related Topics -- Chapter 1. Determinants -- 1.1 Basic Definitions -- 1.2 Properties of Numerical Determinants, Minors and Cofactors -- 1.3 Linear Algebraic Equations and the Existence of Solutions -- Chapter 2. Matrices and Matrix Operations -- 2.1 Basic Definitions -- 2.2 Some Matrix Properties -- 2.3 Kronecker Product -- 2.4 Submatrices, Partitioning of Matrices and Schur's Formulas -- 2.5 Elementary Transformations on Matrices -- 2.6 Rank of a Matrix -- 2.7 Trace of a Quadratic Matrix -- Chapter 3. Eigenvalues and Eigenvectors -- 3.1 Vectors and Linear Subspaces -- 3.2 Eigenvalues and Eigenvectors -- 3.3 The Cayley-Hamilton Theorem -- 3.4 The Multiplicities and Generalized Eigenvectors -- Chapter 4. Matrix Transformations -- 4.1 Spectral Theorem for Hermitian Matrices -- 4.2 Matrix Transformation to the Jordan Form -- 4.3 Polar and Singular-Value Decompositions -- 4.4 Congruent Matrices and the Inertia of a Matrix -- 4.5 Cholesky Factorization -- Chapter 5. Matrix Functions -- 5.1 Projectors -- 5.2 Functions of a Matrix -- 5.3 The Resolvent for a Matrix -- 5.4 Matrix Norms -- Chapter 6. Moore-Penrose Pseudoinverse -- 6.1 Classical Least Squares Problem -- 6.2 Pseudoinverse Characterization -- 6.3 Criterion for Pseudoinverse Checking -- 6.4 Some Identities for Pseudoinverse Matrices -- 6.5 Solution of Least Squares Problem Using Pseudoinverse -- 6.6 Cline's Formulas -- 6.7 Pseudo-Ellipsoids -- Chapter 7. Hermitian and Quadratic Forms -- 7.1 Definitions -- 7.2 Nonnegative Definite Matrices -- 7.3 Sylvester Criterion -- 7.4 The Simultaneous Transformation of a Pair of Quadratic Forms -- 7.5 Simultaneous Reduction of more than Two Quadratic Forms.

7.6 A Related Maximum-Minimum Problem -- 7.7 The Ratio of Two Quadratic Forms -- Chapter 8. Linear Matrix Equations -- 8.1 General Type of Linear Matrix Equation -- 8.2 Sylvester Matrix Equation -- 8.3 Lyapunov Matrix Equation -- Chapter 9. Stable Matrices and Polynomials -- 9.1 Basic Definitions -- 9.2 Lyapunov Stability -- 9.3 Necessary Condition of the Matrix Stability -- 9.4 The Routh-Hurwitz Criterion -- 9.5 The Liénard-Chipart Criterion -- 9.6 Geometric Criteria -- 9.7 Polynomial Robust Stability -- 9.8 Controllable, Stabilizable, Observable and Detectable Pairs -- Chapter 10. Algebraic Riccati Equation -- 10.1 Hamiltonian Matrix -- 10.2 All Solutions of the Algebraic Riccati Equation -- 10.3 Hermitian and Symmetric Solutions -- 10.4 Nonnegative Solutions -- Chapter 11. Linear Matrix Inequalities -- 11.1 Matrices as Variables and LMI Problem -- 11.2 Nonlinear Matrix Inequalities Equivalent to LMI -- 11.3 Some Characteristics of Linear Stationary Systems (LSS) -- 11.4 Optimization Problems with LMI Constraints -- 11.5 Numerical Methods for LMI Resolution -- Chapter 12. Miscellaneous -- 12.1 Lambda-Matrix Inequalities -- 12.2 Matrix Abel Identities -- 12.3 S-Procedure and Finsler Lemma -- 12.4 Farkaš Lemma -- 12.5 Kantorovich Matrix Inequality -- Part II: Analysis -- Chapter 13. The Real and Complex Number Systems -- 13.1 Ordered Sets -- 13.2 Fields -- 13.3 The Real Field -- 13.4 Euclidean Spaces -- 13.5 The Complex Field -- 13.6 Some Simple Complex Functions -- Chapter 14. Sets, Functions and Metric Spaces -- 14.1 Functions and Sets -- 14.2 Metric Spaces -- 14.3 Summary -- Chapter 15. Integration -- 15.1 Naive Interpretation -- 15.2 The Riemann-Stieltjes Integral -- 15.3 The Lebesgue-Stieltjes Integral -- 15.4 Summary -- Chapter 16. Selected Topics of Real Analysis -- 16.1 Derivatives -- 16.2 On Riemann-Stieltjes Integrals.

16.3 On Lebesgue Integrals -- 16.4 Integral Inequalities -- 16.5 Numerical Sequences -- 16.6 Recurrent Inequalities -- Chapter 17. Complex Analysis -- 17.1 Differentiation -- 17.2 Integration -- 17.3 Series Expansions -- 17.4 Integral Transformations -- Chapter 18. Topics of Functional Analysis -- 18.1 Linear and Normed Spaces of Functions -- 18.2 Banach Spaces -- 18.3 Hilbert Spaces -- 18.4 Linear Operators and Functionals in Banach Spaces -- 18.5 Duality -- 18.6 Monotonic, Nonnegative and Coercive Operators -- 18.7 Differentiation of Nonlinear Operators -- 18.8 Fixed-Point Theorems -- Part III: Differential Equations and Optimization -- Chapter 19. Ordinary Differential Equations -- 19.1 Classes of ODE -- 19.2 Regular ODE -- 19.3 Carathéodory's Type ODE -- 19.4 ODE with DRHS -- Chapter 20. Elements of Stability Theory -- 20.1 Basic Definitions -- 20.2 Lyapunov Stability -- 20.3 Asymptotic Global Stability -- 20.4 Stability of Linear Systems -- 20.5 Absolute Stability -- Chapter 21. Finite-Dimensional Optimization -- 21.1 Some Properties of Smooth Functions -- 21.2 Unconstrained Optimization -- 21.3 Constrained Optimization -- Chapter 22. Variational Calculus and Optimal Control -- 22.1 Basic Lemmas of Variation Calculus -- 22.2 Functionals and their Variations -- 22.3 Extremum Conditions -- 22.4 Optimization of Integral Functionals -- 22.5 Optimal Control Problem -- 22.6 Maximum Principle -- 22.7 Dynamic Programing -- 22.8 Linear Quadratic Optimal Control -- 22.9 Linear-Time Optimization -- Chapter 23. H2 and H∞ Optimization -- 23.1 H2-Optimization -- 23.2 H∞-Optimization -- Bibliography -- Index.
Abstract:
This book provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control. It contains an advanced mathematical tool which serves as a fundamental basis for both instructors and students who study or actively work in Modern Automatic Control or in its applications. It is includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers, and advanced students who wish to increase their familiarity with different topics of modern and classical mathematics related to System and Automatic Control Theories * Provides comprehensive theory of matrices, real, complex and functional analysis * Provides practical examples of modern optimization methods that can be effectively used in variety of real-world applications * Contains worked proofs of all theorems and propositions presented.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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