Robust control: theory and applications

Physical dimension

Summary / review / table of contents

Cover ;
Title Page ;
Copyright ;
Dedication ;
Contents ;
Preface ;
List of Abbreviations ;
Notations ;
Chapter 1 Introduction ;
1.1 Engineering Background of Robust Control ;
1.2 Methodologies of Robust Control ;
1.2.1 Small-Gain Approach ;
1.2.2 Positive Real Method.
1.2.3 Lyapunov Method
1.2.4 Robust Regional Pole Placement ;
1.2.5 Gain Scheduling ;
1.3 A Brief History of Robust Control ;
Chapter 2 Basics of Linear Algebra and Function Analysis ;
2.1 Trace, Determinant, Matrix Inverse, and Block Matrix.
2.2 Elementary Linear Transformation of Matrix and Its Matrix Description
2.3 Linear Vector Space ;
2.3.1 Linear Independence ;
2.3.2 Dimension and Basis ;
2.3.3 Coordinate Transformation ;
2.4 Norm and Inner Product of Vector ;
2.4.1 Vector Norm ;
2.4.2 Inner Product of Vector.
2.5 Linear Subspace
2.5.1 Subspace ;
2.6 Matrix and Linear Mapping ;
2.6.1 Image and Kernel Space ;
2.6.2 Similarity Transformation of Matrix ;
2.6.3 Rank of Matrix ;
2.6.4 Linear Algebraic Equation ;
2.7 Eigenvalue and Eigenvector ;
2.8 Invariant Subspace.
2.8.1 Mapping Restricted in Invariant Subspace
2.8.2 Invariant Subspace over Rn ;
2.8.3 Diagonalization of Hermitian/Symmetric Matrix ;
2.9 Pseudo-Inverse and Linear Matrix Equation ;
2.10 Quadratic Form and Positive Definite Matrix ;
2.10.1 Quadratic Form and Energy Function. --
2.10.2 Positive Definite and Positive Semidefinite Matrices. --
Includes bibliographical references and index.

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