Control Engineering: Theory And Practice

Control Engineering: Theory And Practice Control Engineering: Theory And Practice Sample PDF Download
48% Off

Publisher: PHI Learning
ISBN: 9788120319547
Number of Pages: 612
Availability: In Stock
₹395.00 ₹207.38 ( 48% Off )
Effective Price after using Coupon Code: DIWALI2017
Download & Read Books Offline (Desktop/Laptop/Android Device) : Desktop App Android App
Customers who Bought this Ebook also Bought
  • Snapshot
  • Description
About The Book Control Engineering
Book Summary:

This book offers a comprehensive introduction to the subject of control engineering. Both continuous- and discrete-time control systems are treated, although the emphasis is on continuous-time systems. A chapter each is devoted to in-depth analysis of non-linear control systems, control system components, and optimal control theory. The book also introduces students to the modern concepts of neural fuzzy and adaptive learning systems.

Key Features:

• Detailed coverage of state space techniques for continuous- and discrete-time control systems.
• Lucid explanations of controllability and observability concepts and tests.
• Simple treatment of compensation design techniques.
• Extensive treatment of optimal system design.
• Presentation of several practical applications of control engineering.
• Many solved examples in each chapter to reinforce understanding of the topics covered.
• Several typical solved problems of greater analytical nature and numerous objective type questions and exercises in concluding chapters.
Well-written and easy to follow, the book is addressed to the needs of undergraduate engineering students, for a first-course in control theory, of electrical, electronics, mechanical, industrial, aerospace, and chemical disciplines.

Table of Contents:
Preface. 1. Introduction. 2. Review of Some Mathematical Tools. 3. Transient and Steady State Behaviour of Systems. 4. State Variable Analysis. 5. Stability of Linear Control Systems. 6. Study of the Locus of the Roots of Characteristic Equation. 7. Analysis of Frequency Response. 8. Stability in Frequency Response Systems. 9. Compensators and Controllers. 10. Nonlinear Control Systems. 11. Digital Control Systems. 12. Control System Devices. 13. Optimal Control Theory. 14. Introduction to Neural Fuzzy Systems and Adaptive Learning Systems. 15. Miscellaneous Solved Problems. 16. Objective Type Questions. Appendix. Index.