Modern Control Engineering (5th Edition)

Description

A comprehensive, senior-level textbook for control engineering.

For senior or graduate-level students taking a first course in Control Theory (in departments of Mechanical, Electrical, Aerospace, and Chemical Engineering).

Ogata’s Modern Control Engineering, 5th edition, offers the comprehensive coverage of continuous-time control systems that all senior students must have, including frequency response approach, root-locus approach, and state-space approach to analysis and design of control systems. The text provides a gradual development of control theory, shows how to solve all computational problems with MATLAB, and avoids highly mathematical arguments. A wealth of examples and worked problems are featured throughout the text.

The new edition includes improved coverage of Root-Locus Analysis (Chapter 6) and Frequency-Response Analysis (Chapter 8). The author has also updated and revised many of the worked examples and end-of-chapter problems.

Table of Contents

1. Preface
2. Chapter 1 Introduction to Control Systems
   1. Introduction
   2. Examples of Control Systems
   3. Closed-Loop Control versus Open-Loop Control
   4. Outline of the Book
3. Chapter 2 Mathematical Modeling of Control Systems
   1. Introduction
   2. Transfer Function and impulse Response Function
   3. Atomatic Control Systems
   4. Modeling in state space
   5. 5 State-Space Representation of Scalar Differential Equation System
   6. Transformation of Mathematical models with MATLAB
   7. Linearization of Nonlinear Mathematical Models
   8. Example Problems and Solutions Problems
4. Chapter 3 Mathematical Modeling of Mechanical Systems and Electrical Systems
   1. Introduction
   2. Mathematical Modeling of Mechanical Systems
   3. Mathematical Modeling of Electrical Systems
   4. Example Problems and Solutions Problems
5. Chapter 4 Mathematical Modeling of Fluid Systems and Thermal Systems
   1. Introduction
   2. Liquid-Level Systems
   3. Pneumatic Systems
   4. Hydraulic Systems
   5. Thermal Systems
   6. Example Problems and Solutions Problems
6. Chapter 5 Transient and Steady-State Response Analyses
   1. Introduction
   2. First-Order Systems
   3. Second-Order Systems
   4. Higher Order Systems
   5. Transient-Response Analysis with MATLAB
   6. Routh’s Stability Criterion
   7. Effects of Integral and Derivative Control Actions on System Performance
   8. Steady-State Errors in Unity-Feedback Control Systems
   9. Example Problems and Solutions Problems
7. Chapter 6 Control Systems Analysis and design by the Root-Locus Method
   1. Introduction
   2. Root-Locus Plots
   3. plotting Root Loci with MATLAB
   4. Root-Locus Plots of Positive Feedback Systems
   5. Root-Locus Approach to control Systems Design
   6. Lead Compensation
   7. Lag Compensation
   8. Lag-Lead Compensation
   9. Example Problems and Solutions Problems
8. Chapter 7 Control Systems Analysis and Design by the Frequency Response Method
   1. Introduction
   2. Bode Digrams
   3. Polar Plots
   4. Log-Magnitude-versus-Phase plots
   5. Nyquist Stability Criterion
   6. Stability Analysis
   7. Relative Stability Analysis
   8. Closed-Loop Frequency Response of Unity-feedback Systems
   9. Experimental Determination of Transfer functions
   10. Control Systems design by Frequency Response Approach
   11. Lead Compensation
   12. Lag Compensation
   13. Lag-Lead Compensation
   14. Example Problems and Solutions Problems
9. Chapter 8 PID Controllers and Modified PID Controllers
   1. Introduction
   2. Ziegler- Nichols Rules for tuning PID controllers
   3. Design of PID Controllers with Frequency Response Approach
   4. Design of PID Controllers with Computational Optimization Approach
   5. Modification of PID Control Schemes
   6. Two-Degrees-of-freedom PID Control Schemes
   7. Zero Placement Approach to Improve Response
   8. Example Problems and Solutions Problems
10. Chapter 9 Control Systems Analysis in State Space
    1. Introduction
    2. State-space Representations of Transfer-Function Systems
    3. Transformation of System Models with MATLAB
    4. Solving the Time-Invariant State Equation
    5. Some Useful Results in vector-Matrix Analysis
    6. Controllability
    7. Observability
    8. Example Problems and Solutions Problems
11. Chapter 10 Control Systems Design of in State Space
    1. Introduction
    2. Pole Placement
    3. Solving Pole-Placement Problems with MATLAB
    4. Design of Servo Systems
    5. State Observers
    6. Design of Regulator Systems with Observers
    7. Design of Control Systems with Observers
    8. Quadratic Optimal Regulator Systems
    9. Robust Control Solutions
    10. Example Problems and Solutions Problems
12. Appendix A
13. Appendix B
14. Appendix C
15. References
16. Index

Author Biography

Dr. Katsuhiko Ogata graduated from the University of Tokyo (BS), earned an MS degree from the University of Illinois, and his Ph.D from the University of California, Berkeley. He is Professor Emeritus at the University of Minnesota.