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Modern Control Engineering, 5th edition

Published by Pearson (July 14, 2021) © 2022

  • Katsuhiko Ogata

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ISBN-13: 9780137551064 (2021 update)

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This form contains two groups of radio buttons, one for Exam Pack purchasing options, and one for standard purchasing options. Only one option can be chosen for purchase. Any option that is selected will deselect any previously selected purchase option.

eTextbook access on Pearson+

ISBN-13: 9780137551064 (2021 update)

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eTextbook access + Study & Exam Prep monthly subscription on Pearson+

ISBN-13: 9780137551064 (2021 update)

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
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eTextbook on Pearson+

ISBN-13: 9780137551064 (2021 update)

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Title overview

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.

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
    • 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

Author bios

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