| 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。 |
| Katsuhikl Ogata，1956年毕业于美国加州大学伯克利分校，获得工程学博士学位，现为美国明尼苏达大学退休教授，出版了多部自动控制理论和工程应用方面的书籍，其中Modern Control Engineering在国际上颇有影响，已被译成了中、法、俄、日、西班牙等国文字出版发行。 |
| 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 |
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