Ogata教授所著的Modern Control Engineering一书已成为控制理论的最经典教材之一，据悉其第五版将于2009年问世。这本MATLAB教材的编排与Ogata的现代控制工程教材同步。读者一打开本书，就会有一种似曾相识的亲切感，也许就会有继续研读的愿望。书中除了开篇关于MATLAB基本内容的介绍之外，其他章节的安排基本上与Modern Control Engineering一一对应，覆盖了系统建模、瞬态响应分析、根轨迹分析、频域分析以及状态空间控制系统设计方法和优化问题。该书可供各大专院校作为教材使用，也可供从事相关工作的人员作为参考用书使用。

本书系统讲述基于MATLAB的控制系统分析和设计方法。全书共7章，第1章总体介绍MATLAB，第2章为读者提供了在应用MATLAB分析和设计控制系统之前所应掌握的预备知识，第3章详细讨论了如何应用MATLAB获得动态系统在时域信号作用下的瞬态响应，第4章和第5章分别讲解了如何运用MATLAB进行根轨迹和频域方法的分析和设计，第6章讨论了通过MATLAB处理的状态空间设计问题，如极点配置和状态观测器，第7章提供了控制系统设计中最优参数组选取的计算方法，全书最后讨论了用MATLAB解决二次型最优控制问题的方法。

本书适合自动化专业的本科生、控制科学与工程的研究生作为教材或参考书，也适合从事控制领域工作的科研人员和工程师参考。

Chapter 1 Introduction to MATLAB

1-1 Introduction

1-2 Addition, Subtraction, Multiplication, and Division with MATLAB

1-3 Computing Matrix Functions

1-4 Plotting Response Curves

1-5 Three-Dimensional Plots

1-6 Drawing Geometrical Figures with MATLAB

Chapter 2 Preliminary Study of MATLAB Analysis of Dynamic Systems

2-1 Partial-Fraction Expansion with MATLAB

2-2 Transformation of Mathematical Models of Dynamic Systems

2-3 MATLAB Representation of Systems in Block Diagram Form

Chapter 3 Transient-Response Analysis

3-1 Introduction

3-2 Step Response

3-3 Impulse Response

3-5 Response to Arbitrary Input

3-6 Response to Arbitrary Initial Condition

3-7 Three-Dimensional Plots

Chapter 4 Root-Locus Analysis

4-1 Introduction

4-2 Root Locus Plots with Polar Grids

4-3 Finding the Gain Value K at an Arbitrary Point on the Root Locus

4-4 Root-Locus Plots of Non-Minimum-Phase Systems

4-5 Root-Locus Plots of Conditionally Stable Systems

4-6 Root Loci for Systems with Transport Lag

4-7 Root-Locus Approach to Control Systems Compensation

Chapter 5 Frequency-Response Analysis

5-1 Plotting Bode Diagrams with MATLAB

5-2 Plotting Nyquist Diagrams with MATLAB

5-3 Log-Magnitude-Versus-Phase Plots

5-4 Phase Margin .and Gain Margin

5-5 Frequency-Response Approach to Control Systems Compensation

Chapter 6 MATLAB Approach to the State-Space Design of Control Systems

6-1 Introduction

6-2 Controllability and Observability

6-3 Pole Placement

6-4 Solving Pole-Placement Problems with MATLAB

6-5 Design of State Observers with MATLAB

6-6 Minimum-Order Observers

6-7 Observer Controllers

Chapter 7 Some Optimization Problems Solved with MATLAB

7-1 Computational Approach to Obtaining Optimal Sets of Parameter Values

7-2 Solving Quadratic Optimal Control Problems with MATLAB

Appendix

References

Index