Modern Adaptive Fuzzy Control Systems (Studies in Fuzziness and Soft Computing, Band 421) - Softcover

Mohammadzadeh, Ardashir; Sabzalian, Mohammad Hosein; Zhang, Chunwei; Castillo, Oscar; Sakthivel, Rathinasamy; El-Sousy, Fayez F. M.

Softcover

ISBN 10: 3031173953 ISBN 13: 9783031173950

Verlag: Springer, 2023

Inhaltsangabe

This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.

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Über die Autorin bzw. den Autor

Rasoul Sabetahd was born in East Azerbaijan, Shabestar, Iran. He received B.S., M.S., and Ph.D. degrees in the field of civil-structural engineering in 2007, 2010, and 2022, respectively. He is currently an assistant professor at the Islamic Azad University of Sofian Branch, East Azerbaijan, Sofian, Iran. He has published many papers in most reputed journals. Dr. Sabetahd is the reviewer of several journals. His research interests include soft computing, control of structures equipped with intelligent systems, and fuzzy logic systems. Ardashir Mohammadzadeh received his B.Sc. in July 2011 from Sahand University of Technology, Tabriz, Iran; his M.Sc. in September 2013 from K.N Toosi University of Technology, Tehran, Iran; and his Ph.D. in November 2016 from the University of Tabriz, Tabriz, Iran. Since December 2017, he has worked as an assistant/associate professor at the University of Bonab, Bonab, Iran. He joined the Shenyang University of Technology as a professor in 2022. He has published many papers in most reputed journals. Dr. Mohammadzadeh is an academic editor and reviewer of several journals. His research interests include control theory, fuzzy logic systems, machine learning, neural networks, intelligent control, electric vehicles, power systems control, chaotic systems, and medical systems. Ommegolsoum Jafarzadeh was born in East Azerbaijan, Tabriz, Iran. She received B.S., M.S., and Ph.D. degrees in the field of civil-structural engineering in 2005, 2010, and 2022, respectively. She is currently a lecturer at the Technical and Vocational University (TVU), East Azerbaijan, Tabriz, Iran. She has published many papers in most reputed journals. Her research interests include soft computing, control of structures equipped with intelligent systems, and fuzzy logic systems. Hamid Taghavifar is an assistant professor of mechanical engineering at Coventry University, UK. He obtained his Ph.D. in 2016 from Urmia University, Iran. His thesis primarily focused on leveraging nonlinear dynamics and data-driven controls to analyze and control complex dynamic systems such as autonomous vehicles and mobile ground robotics. He was awarded the Horizon Postdoctoral Fellowship from Concordia University in 2017. Following that, he joined Fiat Chrysler R&D Center in Windsor, Ontario, where he worked until 2019 on industry projects mainly around mechatronics and controls in automated driving. He has been with Coventry University and IFTC Research Center ever since, pursuing his research activities, teaching and supervising graduate students on industry-funded projects. Rathinasamy Sakthivel received the B.Sc., M.Sc., M.Phil., and Ph.D. degrees in mathematics from Bharathiar University, Coimbatore, India, in 1992, 1994, 1996, and 1999, respectively. He served as a lecturer with the department of mathematics, Sri Krishna College of Engineering and Technology, Coimbatore, from 2000 to 2001. From 2001 to 2003, he was a postdoctoral fellow with the department of mathematics, Inha University, Incheon, South Korea. He was a research professor with the department of mathematics, Yonsei University, Seoul, South Korea, till 2006. He was a postdoctoral fellow (Brain Pool Program) with the department of mechanical engineering, Pohang University of Science and Technology, Pohang, South Korea, from 2006 to 2008. He served as an assistant and associate professor with the department of mathematics, Sungkyunkwan University, Suwon, South Korea, from 2008 to 2013. From 2013 to 2016, he was a professor with the Department of Mathematics, Sri Ramakrishna Institute of Technology, Coimbatore. Prof. Chunwei Zhang was graduated from Harbin Institute of Technology in 2005. He is currently the chair distinguished professor at Shenyang University of Technology. He is the founding director of the Multidisciplinary Center for Infrastructure Engineering (MCIE) at Shenyang University of Technology and the founding director of the Structural Vib

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This book explains the basic concepts, theory and applications of fuzzy systems in control in a simple unified approach with clear ex-amples and simulations in the MATLAB programming language. Fuzzy systems, especially, type-2 neuro-fuzzy systems, are now used extensively in various engineering fields for different purposes. In plain language, this book aims to practically explain fuzzy sys-tems and different methods of training and optimizing these systems. For this purpose, type-2 neuro-fuzzy systems are first analyzed along with various methods of training and optimizing these systems through implementation in MATLAB. These systems are then em-ployed to design adaptive fuzzy controllers. The authors aim at pre-senting all the well-known optimization methods clearly and code them in the MATLAB language.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2023
• Sprache: Englisch
• ISBN 10: 3031173953
• ISBN 13: 9783031173950
• Einband: Taschenbuch
• Auflage: 1
• Anzahl der Seiten: 168
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland