Intelligent Systems and Control
PRINCIPLES AND APPLICATIONS
Price: 995.00 INR
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ISBN:
9780198063155
Publication date:
11/12/2009
Paperback
Price: 995.00 INR
We sell our titles through other companies
Disclaimer :You will be redirected to a third party website.The sole responsibility of supplies, condition of the product, availability of stock, date of delivery, mode of payment will be as promised by the said third party only. Prices and specifications may vary from the OUP India site.
ISBN:
9780198063155
Publication date:
11/12/2009
Paperback
First Edition
Intelligent Systems and Control: Principles and Applications covers the fundamentals of neural networks, fuzzy logic, and nonlinear control so that the readers can easily follow intelligent control techniques.
Rights: World Rights
First Edition
Description
Intelligent Systems and Control: Principles and Applications covers the fundamentals of neural networks, fuzzy logic, and nonlinear control so that the readers can easily follow intelligent control techniques.
Design principles for fuzzy and neural control schemes have been enumerated in an easy-to-understand manner. Stability analysis of control systems has been provided with rigour. The intelligent control systems have been simulated for benchmark nonlinear systems across disciplines such as electrical, electromechanical, and process control systems. Details of real-time experiments for the cart–pole inverted pendulum system and seven degrees of freedom (DOF) robot manipulator using intelligent control schemes have been included in the book to illustrate efficacy of these advanced control schemes. A chapter on quantum neural network and its application has been included to illustrate the importance of the emerging research in quantum computational intelligence in control. With its comprehensive coverage, this book can also be used as a reference for courses such as artificial neural networks and fuzzy logic, artificial intelligence, instrumentation and control, and advanced control systems. Practising engineers in the R&D sector will also be greatly benefited from this book.
First Edition
Table of contents
Chapter 1. Non-linear Control: Primer
Chapter 2. Neural Networks
Chapter 3. Fuzzy Logic
Chapter 4. Indirect Adaptive Control Using Neural Networks
Chapter 5. Direct Adaptive Control Using Neural Networks
Chapter 6. Approximate Dynamic Programming
Chapter 7. Fuzzy Logic Control
Chapter 8. Takagi–Sugeno Fuzzy Model Based Control
Chapter 9. Intelligent Control of a Pendulum on a Cart
Chapter 10. Visual Motor Control of a Redundant Manipulator
First Edition
Features
- Includes exercises for self-practice at the end of each chapter
- Intelligent control schemes have been designed for benchmark nonlinear systems across various disciplines
- Comprehensively covers fuzzy and neural control schemes and introduces quantum neural networks using a novel paradigm
- Incorporates experiments on cart-pole inverted pendulum system and seven DOF robot manipulator
- Provides illustrative examples with MATLAB codes
- IN THE CD
- C-codes for selected end-chapter exercises and examples have been included in the CD accompanying the book. Simulation results and experimental videos are also provided in the CD
First Edition
Description
Intelligent Systems and Control: Principles and Applications covers the fundamentals of neural networks, fuzzy logic, and nonlinear control so that the readers can easily follow intelligent control techniques.
Design principles for fuzzy and neural control schemes have been enumerated in an easy-to-understand manner. Stability analysis of control systems has been provided with rigour. The intelligent control systems have been simulated for benchmark nonlinear systems across disciplines such as electrical, electromechanical, and process control systems. Details of real-time experiments for the cart–pole inverted pendulum system and seven degrees of freedom (DOF) robot manipulator using intelligent control schemes have been included in the book to illustrate efficacy of these advanced control schemes. A chapter on quantum neural network and its application has been included to illustrate the importance of the emerging research in quantum computational intelligence in control. With its comprehensive coverage, this book can also be used as a reference for courses such as artificial neural networks and fuzzy logic, artificial intelligence, instrumentation and control, and advanced control systems. Practising engineers in the R&D sector will also be greatly benefited from this book.
Table of contents
Chapter 1. Non-linear Control: Primer
Chapter 2. Neural Networks
Chapter 3. Fuzzy Logic
Chapter 4. Indirect Adaptive Control Using Neural Networks
Chapter 5. Direct Adaptive Control Using Neural Networks
Chapter 6. Approximate Dynamic Programming
Chapter 7. Fuzzy Logic Control
Chapter 8. Takagi–Sugeno Fuzzy Model Based Control
Chapter 9. Intelligent Control of a Pendulum on a Cart
Chapter 10. Visual Motor Control of a Redundant Manipulator
