Foundations of Fuzzy Control: A Practical Approach 2nd Edition
Author(s): Jan Jantzen (Author)
Publisher: Wiley
Publication Date: 13 Sept. 2013
Edition: 2nd
Language: English
Print length: 352 pages
ISBN-10: 1118506227
ISBN-13: 9781118506226
Book Description
Foundations of Fuzzy Control: A Practical Approach, 2nd Edition has been significantly revised and updated, with two new chapters on Gain Scheduling Control and Neurofuzzy Modelling. It focuses on the PID (Proportional, Integral, Derivative) type controller which is the most widely used in industry and systematically analyses several fuzzy PID control systems and adaptive control mechanisms.
This new edition covers the basics of fuzzy control and builds a solid foundation for the design of fuzzy controllers, by creating links to established linear and nonlinear control theory. Advanced topics are also introduced and in particular, common sense geometry is emphasised.
Key features
Sets out practical worked through problems, examples and case studies to illustrate each type of control system
Accompanied by a website hosting downloadable MATLAB programs
Accompanied by an online course on Fuzzy Control which is taught by the author. Students can access further material and enrol at the companion website
Foundations of Fuzzy Control: A Practical Approach, 2nd Edition is an invaluable resource for researchers, practitioners, and students in engineering. It is especially relevant for engineers working with automatic control of mechanical, electrical, or chemical systems.
Editorial Reviews
From the Inside Flap
Foundations of Fuzzy Control: A Practical Approach, Second Edition has been signifi cantly revised and updated, with two new chapters on Gain Scheduling Control and Neurofuzzy Modelling. It focuses on the PID (Proportional, Integral, Derivative) type controller which is the most widely used in industry and systematically analyses several fuzzy PID control systems and adaptive control mechanisms.
This new edition covers the basics of fuzzy control and builds a solid foundation for the design of fuzzy controllers, by creating links to established linear and nonlinear control theory. Advanced topics are also introduced and in particular, common sense geometry is emphasised. Key features
Sets out practical worked through problems, examples and case studies to illustrate each type of control system
Accompanied by a website hosting downloadable MATLAB® programs
Accompanied by an online course on Fuzzy Control which is taught by the author. Students can access further material and enroll at the companion website
Foundations of Fuzzy Control: A Practical Approach, Second Edition is an invaluable resource for researchers, practitioners, and students in engineering. It is especially relevant for engineers working with automatic control of mechanical, electrical, or chemical systems.
From the Back Cover
Foundations of Fuzzy Control: A Practical Approach, Second Edition has been signifi cantly revised and updated, with two new chapters on Gain Scheduling Control and Neurofuzzy Modelling. It focuses on the PID (Proportional, Integral, Derivative) type controller which is the most widely used in industry and systematically analyses several fuzzy PID control systems and adaptive control mechanisms.
This new edition covers the basics of fuzzy control and builds a solid foundation for the design of fuzzy controllers, by creating links to established linear and nonlinear control theory. Advanced topics are also introduced and in particular, common sense geometry is emphasised. Key features
Sets out practical worked through problems, examples and case studies to illustrate each type of control system
Accompanied by a website hosting downloadable MATLAB® programs
Accompanied by an online course on Fuzzy Control which is taught by the author. Students can access further material and enroll at the companion website
Foundations of Fuzzy Control: A Practical Approach, Second Edition is an invaluable resource for researchers, practitioners, and students in engineering. It is especially relevant for engineers working with automatic control of mechanical, electrical, or chemical systems.
About the Author
Jan Jantzen, Adjunct Professor, University of the Aegean, Greece
As a follow-up on the pioneering work by Holmblad and Østergaard on cement kiln control, Dr Jantzen taught a course on fuzzy control at the Technical University of Denmark (starting 1986). He has participated in the development of a fuzzy controller for a 600 kilowatt screw chiller and a fuzzy idle speed controller for a car engine. At the university he supervised numerous student projects in the process industry, and he teaches a fuzzy control course over the Internet to students and practitioners (www.inference.dk). He also teaches a course on fuzzy logic and intelligent computers at the University of the Aegean, Chios island, Greece (since 2003). Dr Jantzen lives on the island of Samso, Denmark, and he works at the Samso Energy Academy with renewable energy, particularly for European islands.
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