Special Issue on Applications of Modern Type-2 Fuzzy Methodologies for Controller Design
In the new era of technologies, the need for an efficient control system is much needed, and it is considered as prime importance to the industrial development. The process control is the multidisciplinary field that encompasses various engineering or multivariate data analysis. The Significant challenges faced during all these processing are due to uncertainty. The stability and robustness of the systems are the essential challenges that are handles by certain controlling algorithms. These algorithms are designed with certain linear behavior, yet these algorithms have some limitation such as the controller working area must be near the system operating point, the adjustment is tough especially when the dynamic system parameters have notable variations, and when the system has hard non-linearity. This non-linearity was overruled utilizing Machine learning methods such as Artificial Neural Network and Fuzzy logic, neuro-fuzzy, etc., Fuzzy systems indented to provide a practical solution to many issues. This method has been successfully applied to a wide range of benchmark and real-world application problems. However, modern development needs more efficiency which outskirt the challenges in the industrial process. The research towards these topics is significant, to overcome the issues of process control. The implementation of the type-2 Fuzzy Systems involves the operations of fuzzification, inference, and output processing. This focus on output processing, which consists of type reduction and defuzzification. Type-reduction methods are extended versions of type-1 defuzzification methods. Type reduction captures more information about rule uncertainties than does the defuzzified value, however, it is computationally intensive, except for interval type-2 fuzzy sets for which a simple type-reduction computation procedure is provided.
This special issue seeks to bring forward, highlight applications of Type-2 fuzzy systems techniques for real-world problems especially signal, and image processing.
Potential topics include but are not limited to the following:
• Fuzzy based controller system
• Subset and Rough set theory
• Efficient Scheduling
• Intelligent Control System
• Machine learning based PID Controller
• Advanced Neuro-fuzzy features
• Optimization Intelligent Processing
• Information Theory for Industrial Control
• Supervised and unsupervised controlling
• Expert System Development
Submission of manuscripts:
10 October 2019
Notification to authors:
20 January 2020
Final versions due:
25 March 2020
(Subject to change at journal's discretion)
All papers are subject to peer review by at least two independent reviewers. The most important criterion for acceptance/rejection is originality of the material presented in the manuscript. Reviewers are recruited among the internationally recognized experts relevant for the given area.
Open Access (OA) means your research is free to access online as soon as it is published, meaning anyone can read (and cite) your work. Increase readership, impact beyond your field, and retain the copyright to your article.
Prof. Dr. B. Nagaraj M.E., Ph.D., MIEEE
Head, Karpagam Innovation Centre
Karpagam College of Engineering Coimbatore
Prof. B. Nagaraj is working as a Professor and Head in the Electronics and Communication Engineering Department at Karpagam College of Engineering, Coimbatore, India. He received his M.E. and Ph.D. degrees from Anna University, and Karpagam University in 2004 and 2010, respectively. In 2005 he joined a Lecturer in Kamaraj College of Engineering, India and he worked there for 12 years (till May 15th, 2013) in various positions. His technical expertise and research interests include a control system, Automation, soft computing, and high-speed signal processing. He received Best Researcher Award from Karunya University for the best research paper in the year 2010. He is the author or co-author of more than 48 refereed publications in journals and conferences. He applied for five patent and is published in Indian Patent Journal. He is a member of various professional bodies like IEEE, MAENG, IACSIT, ISTE, and IETE. He is a reviewer for different reputed journals like Elsevier, Wiley, Inderscience, etc., and he has been the Guest Editor for a few special issues in Hindawi, Elsevier, Inderscience, Springer, etc.
Prof. Dr. Danilo Pelusi
University of Teramo, Italy
Dept. of Communication Engineering
Prof. Danilo Pelusi, Teacher in the Faculties of Communication Sciences and Bioscience and Agro- Food and Environmental Technology, his research is on coding theory and artificial intelligence. Moreover, he is interested in signal processing, patterns recognition, fuzzy logic, neural networks, and genetic algorithms. Assistant Professor of Computer Science from 2009 to 2012 at the University of Teramo, he has developed research activity on control systems optimization and database management to the Astronomic Observatory Collurania "V. Cerulli" of Teramo. Reviewer of international journals and conferences, he is Editorial board member of journals "Journal of Universal Computer Science," "International Journal of Advances in Telecommunications, Electrotechnics, Signals, and Systems," "Engineering, Technology & Applied Science Research," "Science Journal of Circuits, Systems, and Signal Processing." Member of the Ph.D. board in Epistemology of Informatics and Social Changes (University of Teramo), Administrator of the e-learning platform e-RID of the University of Teramo from 2009 to 2012, Ph.D. in Computational Astrophysics, he obtained the degree in Physics from the University of Bologna. Guest editor for Inderscience, Springer.
Prof. Dr. Joy I.-Z. Chen
Dept. of Communication Engineering
Prof. Joy I.-Z. Chen was born in Taichung Taiwan. He received his B.Sc degrees in Electronics Engineering from the National Taiwan Technical University, Taipei, Taiwan, and M.Sc degrees in Electrical Engineering from the Dayeh University, Chunghua, Taiwan, in 1985 and 1995, respectively, and Ph. D. degrees in Electrical Engineering from National Defense University, Tao-Yuan, Taiwan, in 2001. He is currently a full professor of Dep. of Communication Engineering Dayeh University at Changhua Taiwan. Before joining the Dayeh University, he worked at the Control Data Company (Taiwan branch) as a Technical Manager since Sep. 1985 to Sep. 1996. His research interests include wireless communications, spread spectrum technical, MIMO systems, OFDM systems, and wireless sensor networks. Dr. Joy I.-Z. Chen has published a large number of SCI/EI Journal papers in the issues addressed physical layer for wireless communication systems. Moreover, he also majors in developing some applications of the IOT (Internet of Thing) techniques and Dr. Joy I.-Z. Chen owned some patents authorized by the Taiwan Intellectual Property Office (TIPO). Dr. Joy I.-Z. Chen has ever been serving as many vital positions in International Conferences. Guest editor for Inderscience, Springer.