Modern Control Engineering, 5th edition

  • Katsuhiko Ogata

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Modern Control Engineering provides complete coverage of continuous-time control systems and a gradual development of control theory, while avoiding highly mathematical arguments. You'll learn how to solve computational problems and gain context and practice with examples and worked problems throughout.

Published by Pearson (July 14th 2021) - Copyright © 2010

ISBN-13: 9780137551064

Subject: Electrical Engineering

Category: Controls

Table of 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



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