Modern Control Engineering

Modern Control Engineering
40% Off

Modern Control Engineering

Publisher: PHI Learning
ISBN: 9788120321960
Number of Pages: 840
Availability: In Stock
₹495.00 ₹297.00 ( 40% Off )
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About The Book Modern Control Engineering
Book Summary:

This book represents an attempt to organize and unify the diverse methods of analysis of feedback control systems and presents the fundamentals explicitly and clearly. The scope of the text is such that it can be used for a two-semester course in control systems at the level of undergraduate students in any of the various branches of engineering (electrical, aeronautical, mechanical, and chemical).

Emphasis is on the development of basic theory. The text is easy to follow and contains many examples to reinforce the understanding of the theory. Several software programs have been developed in MATLAB platform for better understanding of design of control systems. Many varied problems are included at the end of each chapter.

The basic principles and fundamental concepts of feedback control systems, using the conventional frequency domain and time-domain approaches, are presented in a clearly accessible form in the first portion (chapters 1 through 10). The later portion (chapters 11 through 14) provides a thorough understanding of concepts such as state space, controllability, and observability. Students are also acquainted with the techniques available for analysing discrete-data and nonlinear systems.

The hallmark feature of this text is that it helps the reader gain a sound understanding of both modern and classical topics in control engineering.

Table of Contents:


1. Introduction to Control Systems.
2. Mathematical Modeling of Systems.
3. Characteristics of Feedback Control Systems.
4. Transient Response Analysis.
5. Routh Stability and Robust Control.
6. Root-Locus Technique.
7. Process Control System.
8. Frequency Response Analysis.
9. Nyquist Stability.
10. Compensation Techniques.
11. State-Variable Formulation.
12. Analysis and Design of Modern Control Systems.
13. Digital Control Systems.
14. Nonlinear Systems.