Modern Control Engineering – Katsuhiko Ogata – 3rd Edition

Description

This is a revised (third) edition of a classic on control . Though a very comprehensive text and intended for a full two-semester course in control engineering, it can still be used as an introductory text in modern control systems (in senior years). This edition contains a comprehensive integration of MATLAB. With the availability of student edition MATLAB has become a major tool for control and in the academic environment. It is a large volume (about 1000 pages) and is distributed into 13 chapters.

First half of the book is dedicated to lay the foundation of used in control system . Laplace transform, state space analysis, root locus, and time & response techniques are well covered. A large number of examples tend to reinforce the understanding. This section tends to focus on classical control techniques. The second half of the book is related to control system design and also explores the of modern control techniques. A chapter on PID control discusses the plant testing and control, with an introduction to robust control. Again detailed worked examples using MATLAB are provided. The last three chapters are devoted to state space control techniques for analysis and design. An appendix provides a quick introduction to MATLAB and available for control system analysis and design.

Table of Contents

Chapter 1 Introduction to control systems
Chapter 2 The Laplace transform
Chapter 3 Mathematical model of linear systems
Chapter 4 Analysis of the transient response
Chapter 5 Basic control and response actions of control systems
Chapter 6 Analysis of the root locus
Chapter 7 Design of control systems using the root locus method
Chapter 8 Analysis of the frequency response
Chapter 9 Design of control systems using the frequency response
Chapter 10 PID Controls and Introduction to Robust Control
Chapter 11 Analysis of control systems in the space of states
Chapter 12 Designing Control Systems in the Statespace
Chapter 13 Liapunov stability analysis and quadratic optimal control
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