Modern Control Engineering

Series
Prentice Hall
Author
Katsuhiko Ogata  
Publisher
Pearson
Cover
Softcover
Edition
5
Language
English
Total pages
912
Pub.-date
August 2009
ISBN13
9780136156734
ISBN
0136156738
Related Titles


Product detail

Product Price CHF Available  
9780136156734
Modern Control Engineering
264.60 approx. 7-9 days

Alternative title

Product Edition Date Price CHF Available
9780137133376
Modern Control Engineering
5 June 2008 85.90

Description

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

 

A comprehensive, senior-level textbook for control engineering.

 

Ogata's Modern Control Engineering, 5/e, 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.

Features

Chapter 8 first discusses PID control in general and then presents two-degrees-of-freedom control systems-Presents a computational (MATLAB) method to determine system parameters so the system will have the desired transient characteristics.

 

An improved chapter on the design of control systems in state space (Chapter 10)-This chapter treats pole placement and observer design and includes quadratic optimal control. MATLAB is extensively used in the design problems using pole placement and observer design.

An in-depth treatment of topics emphasizes both the basic concepts and the design aspects of control systems.

An accessible presentation that avoids highly mathematical arguments. The author introduces mathematical proofs only when they contribute to an understanding of the material.

Over 100 examples clarify students' understanding of the material at strategic points throughout the text.

An introduction to the two-degrees-of-freedom control system and introduction to robust control. Presents a MATLAB approach to the design of high performance control systems.


Features an example of a nonlinear model-reference control system design. Formulates the conditions for Liapunov stability and then designs the system within these limitations.

 

A comprehensive coverage of root-locus analyses not found in other texts.

New to this Edition

  • The use of MATLAB is expanded to many control systems analysis and design problems (See Section 8-4). Computational optimization approach with MATLAB is emphasized throughout the text.
  • Over 150 chapter-end worked problems and 180 unsolved problems help students fully understand the text material. Many of the solved problems are new.
  • New introductory discussion of robust control theory explains robust control systems.
  • Several chapters are combined to create a more streamlined approach. There are 10 chapters now instead of 12.
  • Improved chapter on the design of control systems in state space (Chapter 10) - Treats pole placement and observer design. Chapter includes quadratic optimal control. MATLAB is extensively used in the design problems using pole placement and observer design.
  • Significantly revised chapters include:
    - Chapter 6 - Control Systems Analysis and Design by the Root-Locus Method
    - Chapter 7 - Control Systems Analysis and Design by the Frequency Response Method
    - Chapter 8 - PID Controllers and Modified PID Controllers - Chapter 8 first discusses PID control in general and then presents two-degrees-of-freedom control systems. MATLAB methods determine system parameters so the system will have the desired transient characteristics.
  • Updated Appendices
    - Laplace Transform tables and partial fraction expansion with MATLAB are presented in Appendix A and B.
    - Short summary of vector matrix analysis is presented in Appendix C. This Appendix will be useful in obtaining the inverses of n x n matrices that may be involved in the analysis and design of control systems.
  • To facilitate students' understanding of the material, improvements were made in the presentation of topics. Re-organized, streamlined material includes:
    - Modeling of mechanical systems and electrical systems are shortened and combined into one chapter
    - Fluid systems and thermal systems are combined into one chapter.
    - Root locus analysis and root locus design of control systems are combined into one chapter.
    - Frequency response analysis and frequency response design of control systems are combined into one chapter.
  • Table of Contents

    Contents

    Preface

    Chapter 1 Introduction to Control Systems

    1-1 Introduction

    1-2 Examples of Control Systems

    1-3 Closed-Loop Control versus Open-Loop Control

    1-4 Outline of the Book

     

    Chapter 2 Mathematical Modeling of Control Systems

    2-1 Introduction

    2-2 Transfer Function and impulse Response Function

    2-3 Atomatic Control Systems

    2-4 Modeling in state space

    2-5 State-Space Representation of Scalar Differential Equation System

    2-6 Transformation of Mathematical models with MATLAB

    2-7 Linearization of Nonlinear Mathematical Models

    Example Problems and Solutions Problems

     

    Chapter 3 Mathematical Modeling of Mechanical Systems and Electrical Systems

    3-1 Introduction

    3-2 Mathematical Modeling of Mechanical Systems

    3-3 Mathematical Modeling of Electrical Systems

    Example Problems and Solutions Problems

     

    Chapter 4 Mathematical Modeling of Fluid Systems

    and Thermal Systems

    4-1 Introduction 152

    4-2 Liquid-Level Systems

    4-3 Pneumatic Systems

    4-4 Hydraulic Systems

    4-5 Thermal Systems

    Example Problems and Solutions Problems

     

    Chapter 5 Transient and Steady-State Response Analyses

    5-1 Introduction

    5-2 First-Order Systems

    5-3 Second-Order Systems

    5-4 Higher Order Systems

    5-5 Transient-Response Analysis with MATLAB

    5-6 Routh's Stability Criterion

    5-7 Effects of Integral and Derivative Control Actions on System

    Performance 

    5-8 Steady-State Errors in Unity-Feedback Control Systems

    Example Problems and Solutions Problems

     

    Chapter 6 Control Systems Analysis and design by the Root-Locus Method

    6-1 Introduction

    6-2 Root-Locus Plots

    6-3 plotting Root Loci with MATLAB

    6-4 Root-Locus Plots of Positive Feedback Systems

    6-5 Root-Locus Approach to control Systems Design

    6-6 Lead Compensation

    6-7 Lag Compensation

    6-8 Lag-Lead Compensation

    Example Problems and Solutions Problems

     

    Chapter 7 Control Systems Analysis and Design by the Frequency Response Method 

    7-1 Introduction

    7-2 Bode Digrams

    7-3 Polar Plots

    7-4 Log-Magnitude-versus-Phase plots

    7-5 Nyquist Stability Criterion

    7-6 Stability Analysis

    7-7 Relative Stability Analysis

    7-8 Closed-Loop Frequency Response of Unity-feedback Systems

    7-9 Experimental Determination of Transfer functions

    7-10 Control Systems design by Frequency Response Approach

    7-11 Lead Compensation

    7-12 Lag Compensation

    7-13 Lag-Lead Compensation

    Example Problems and Solutions Problems

     

    Chapter 8 PID Controllers and Modified PID Controllers

    8-1 Introduction

    8-2 Ziegler- Nichols Rules for tuning PID controllers

    8-3 Design of PID Controllers with Frequency Response Approach

    8-4 Design of PID Controllers with Computational Optimization Approach

    8-5 Modification of PID Control Schemes

    8-6 Two-Degrees-of-freedom PID Control Schemes

    8-7 Zero Placement Approach to Improve Response

    Example Problems and Solutions Problems

     

    Chapter 9 Control Systems Analysis in State Space

    9-1 Introduction

    9-2 State-space Representations of Transfer-Function Systems

    9-3 Transformation of System Models with MATLAB

    9-4 Solving the Time-Invariant State Equation

    9-5 Some Useful Results in vector-Matrix Analysis

    9-6 Controllability

    9-7 Observability

    Example Problems and Solutions Problems

      

    Chapter 10 Control Systems Design of in State Space

    10-1 Introduction

    10-2 Pole Placement

    10-3 Solving Pole-Placement Problems with MATLAB

    10-4 Design of Servo Systems

    10-5 State Observers

    10-6 Design of Regulator Systems with Observers

    10-7 Design of Control Systems with Observers

    10-8 Quadratic Optimal Regulator Systems

    10-9 Robust Control Solutions

    Example Problems and Solutions Problems

     

    Appendix A

    Appendix B

    Appendix C 

    References

    Index