现代控制理论（双语教学版）
出版时间：2011年版
丛编项： 普通高等教育"十二五"规划教材
内容简介
　　《普通高等教育“十二五”规划教材：现代控制理论（双语教学版）》以状态空间法为核心，阐述了现代控制理论的基本原理及其分析和综合方法。全书共分七章，主要内容包含线性系统的状态空间描述、线性系统的运动分析、线性系统的能控性和能观性、李雅普诺夫稳定性分析、线性系统的状态综合以及二次型最优控制。本书是在作者根据我国现代控制理论课程教学要求、大量参考国际优秀原版教材，并总结近年来该课程双语教学实践经验的基础上编写而成的。 《普通高等教育“十二五”规划教材：现代控制理论（双语教学版）》可作为普通高等院校自动化、电气工程及其自动化等控制类专业的现代控制理论双语教学教材，也供相关工程技术人员学习参考。
目录
Preface
Chapter 1 Introduction to Control Systems
1.1 Historical Review
1.2 Modern Control Theory versus Conventional Control Theory
1.3 Design of Control Systems
1.4 Outline of This Book
Chapter 2 Modeling in State Space
2.1 State Variable and State Space Expression
2.2 State Space Representation of Linear Dynamic System
2.3 From Block Diagram to State Space Representation
2.4 Linear Transform of State Equation
2.5 State Space Representations of Discrete Systems
2.6 Transformation of System Models with MATLAB
Chapter 3 Dynamic Analysis of Control System in State Space
3.1 Solving the Timeinvariant Homogeneous State Equation
3.2 Properties of Statetransition Matrices
3.3 The Calculation of Matrix Exponential Function
3.4 Solution of Nonhomogeneous State Equations
3.5 Solution of Discrete Nonhomogeneous State Equations
3.6 Computation of Control System Response with MATLAB
Chapter 4 Controllability and Observability
4.1 Controllability of Linear Timeinvariant Continuous System
4.2 Observability of Linear Timeinvariant Continuous System
4.3 Controllable Canonical Form and Observable Canonical Form
4.4 Principle of Duality
4.5 Controllability and Observability of Discrete Timeinvariant System
4.6 Structure Decomposition of Linear Timeinvariant Continuous System
4.7 Computation of Controllability and Observability Matrices with MATLAB
Chapter 5 Lyapunov Stability Analysis
5.1 Stability of Lyapunov Significance
5.2 Definiteness of Scalar Function and Sylvester Theorem
5.3 Main Theorems of Lyapunov's Second Method
5.4 Stability Criteria for Linear Timeinvariant Systems
Chapter 6 Design of Control Systems in State Space
6.1 State Feedback and Output Feedback
6.2 Pole Placement
6.3 Stabilization Problem of Systems
6.4 Solving PolePlacement Problems with MATLAB
6.5 State Observers
6.6 Design of State Observers with MATLAB
Chapter 7 Optimal Control Systems
7.1 Optimal Control Design Using Errorsquared Performance Indices
7.2 Optimal Control Design Using Riccafi Equation
7.3 Solving Quadratic Optimal Regulator Problems with MATLAB
References