書名：Linear System Theory and Design 4/E 作者：CHEN 出版社：Oxford 出版日期：2013/12/01 ISBN：9780199964543 目錄 Table of Contents 1 Introduction 1.1 Introduction 1.2 Overview 1.2.1 A brief history 2 Mathematical Descriptions of Systems 2.1 Introduction 2.2 Causality, lumpedness, and time-invariance 2.2.1 Impulses 2.3 Linear time-invariant (LTI) systems 2.3.1 Multi-input multi-output case 2.4 Linear time-varying systems 2.3.1 Linearization 2.5 RLC circuits { Comparisons of various descriptions 2.6 Mechanical and hydraulic systems 2.7 Proper rational transfer functions 2.8 Discrete-time linear time-invariant systems 2.9 Concluding remarks Problems 3 Linear Algebra 3.1 Introduction 3.2 Basis, representation, and orthonormalization 3.3 Linear algebraic equations 3.4 Similarity transformation 3.5 Diagonal form and Jordan form 3.6 Functions of a square matrix 3.7 Lyapunov equation 3.8 Some useful formula 3.9 Quadratic form and positive de niteness 3.10 Singular value decomposition 3.11 Norms of matrices Problems 4 State-Space Solutions and Realizations 4.1 Introduction 4.2 General solution of CT LTI state-space equations 4.2.1 Discretization 4.2.2 General solution of DT LTI state-space equations 4.3 Computer computation of CT state-space equations 4.3.1 Real-time processing 4.3.2 Op-amp circuit implementation 4.4 Equivalent state equations 4.4.1 Canonical forms 4.3.2 Magnitude scaling in op-amp circuits 4.5 Realizations 4.5.1 Multi-input multi-output case 4.6 Solution of linear time-varying (LTV) equations 4.6.1 Discrete-time case 4.7 Equivalent time-varying equations 4.8 Time-varying realizations Problems 5 Stability 5.1 Introduction 5.2 Input-output stability of LTI systems 5.3 Discrete-time case 5.4 Internal stability 5.4.1 Discrete-time case 5.5 Lyapunov theorem 5.5.1 Discrete-time case 5.6 Stability of LTV systems Problems 6 Controllability and Observability 6.1 Introduction . 6.2 Controllability 6.2.1 Controllability indices 6.3 Observability 6.3.1 Observability indices 6.4 Canonical decomposition 6.5 Conditions in Jordan-form equations 6.6 Discrete-time state-space equations . 6.6.1 Controllability to the origin and reachability 6.7 Controllability after sampling 6.8 LTV state-space equations Problems 7 Minimal Realizations and Coprime Fractions 7.1 Introduction 7.2 Implications of coprimeness 7.2.1 Minimal realizations 7.2.2 Complete characterization 7.3 Computing coprime fractions 7.3.1 QR decomposition 7.4 Balanced realization 7.5 Realizations from Markov parameters 7.6 Degree of transfer matrices 7.7 Minimal realizations{Matrix case 7.8 Matrix polynomial fractions 7.8.1 Column and row reducedness 7.8.2 Computing matrix coprime fractions 7.9 Realization from matrix coprime fractions 7.10 Realizations from matrix Markov parameters 7.11 Concluding remarks Problems 8 State Feedback and State Estimators 8.1 Introduction 8.2 State feedback 8.2.1 Solving Lyapunov equation 8.3 Regulation and tracking 8.3.1 Robust tracking and disturbance rejection 8.3.