FUZZ-IEEE-Special Session: Adaptive fuzzy control for nonlinear systems

FUZZ-IEEE-Special Session


FUZZ-IEEE-Special Session:  Adaptive fuzzy control for nonlinear systems

Special Session Organizers:

Valentina E. Balas, ROMANIA

Tsung-Chih Lin, TAIWAN

Rajeeb Dey, INDIA

Yu-Chen Lin , TAIWAN

Seshadhri Srinivasan, ITALY


Aim and Scope:
The aim of this special session is to present the state-of-the-art results in the area of adaptive intelligent control theory and applications and to get together researchers in this area. Adaptive control is a technique of applying some methods to obtain a model of the process and using this model to design a controller. Especially, fuzzy adaptive control has been an important area of active research. Significant developments have been seen, including theoretical success and practical design. One of the reasons for the rapid growth of fuzzy adaptive control is its ability to control plants with uncertainties during its operation.
The papers in this special session present the most advanced techniques and algorithms of adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge and nonlinear intelligent adaptive control techniques. This special session aims to provide an opportunity for international researchers to share and review recent advances in the foundations, integration architectures and applications of hybrid and adaptive systems.


Topics of interest include, but are not limited to:

  • Fuzzy Self-Organizing Controllers
  • Adaptive Fuzzy Control Design
  • Fuzzy Applications
  • Fuzzy Modeling and Simulation
  • Fuzzy Model Reference Learning Controller
  • Hybrid adaptive fuzzy control
  • Robust adaptive fuzzy control
  • Adaptive fuzzy sliding-mode control
  • Time-Delay Nonlinear Systems
  • Adaptive and learning control theory
  • Adaptive control of processes
  • Data based auto-tuning of the controller
  • Estimation and identification and its application to control design
  • Cooperative Control
  • Hybrid Intelligent Control

Valentina E. Balas is currently Professor in the Department of Automatics and Applied Software at the Faculty of Engineering, University “Aurel Vlaicu” Arad, ROMANIA. She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara since 2003. She is author of more than 170 research papers in refereed journals and International Conferences. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing, Smart Sensors, Information Fusion, Modeling and Simulation. She is Editor-in Chief to International Journal of Advanced Intelligence Paradigms (IJAIP), member in Editorial Boards for national and international journals, serves as reviewer for many International Journals and conferences and is evaluator expert for national and international projects. She was participated in many international conferences as General Chair, Organizer, Session Chair and member in International Program Committee. She was mentor for many student teams in Microsoft (Imagine Cup), Google and IEEE competitions in the last six years. She has a great experience in research projects. She is member of EUSFLAT, ACM and a Senior Member IEEE, member in TC – Emergent Technologies (IEEE CIS) and member in TC – Soft Computing (IEEE SMCS). Dr. Balas is Vice-president (Awards) of IFSA International Fuzzy Systems Association Council and Join Secretary of Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics (FIM), Multidisciplinary Academic Body, INDIA. She is a Senior Member of IEEE.

Tsung-Chih Lin received the B.S. degree in Electronic Engineering from the Feng Chia University, Taichung, Taiwan in 1984, the M.S. in Control Engineering from the National Chiao Tung University in 1986 and the Ph.D. degree in the School of Microelectronic Engineering, Griffith University, Brisbane, Australia in 2002.
He is currently a Professor in the Department of Electronic Engineering, Feng-Chia University, Taichung, Taiwan. His current research interests and publications are in the areas of adaptive control, fuzzy-neural-network, robust control and analog circuit testing. He is member in Editorial Boards for national and international journals, serves as reviewer for many International Journals and conferences. He participated in many international conferences as Session Chair and member in International Program Committee. He is a Senior Member IEEE.

Rajeeb Dey is currently a post doctoral fellow at CINVESTAV-IPN, Mexico City, Mexico D.F. He holds a permanent position as a Assisant Professor in the Department of Electrical Engineering at National Institute of Technology, Silchar, Assam, India. He obtained M.Tech in Control System Engineering, from Indian Institute of Technology, Kharagpur, India and subsequently PhD degree also in Control System Engineering from Jadavpur University, Kolkata, India. His research interest includes Design of Robust Control, Optimization based on LMI techniques, Time-Delay Systems, Intelligent–Control, Decentralized control, Control applications in Bio-medical control engineering. He has published around 25 research articles in International Journals and Conferences. He has been invited speaker and session chair in many IEEE international conferences. He is reviewer of over 15 SCIE journals related to Applied Mathematics and control engineering. He has been awarded as a National Associate by Department of Bio-Technology, Govt. of India to work on Artificial Pancreas project at IISc Bangalore, India. He received AICTE (Govt. of India) funded research project for Implementation of Output delay feedback control on Inverted Pendulum experimental set-up and students working on this project has been awarded as best B.Tech project by Indian National Academy of Engineers (INAE) in 2010. He is a Senior Member of IEEE Control System Society, Member of SIAM and Life Member of System Society of India.

Yu-Chen Lin received the M.S. degree in Automatic Control Engineering from the Feng Chia University, Taichung, Taiwan in 2005, and the Ph.D. degree in electrical engineering from the National Chung Hsing University, Taichung, in 2009.
He was a Researcher with the Department of Safety Sensing and Control, Intelligent Mobility Technology Division, Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan, from 2009 to 2014. He is currently an Assistant Professor with the Department of Automatic Control Engineering, Feng Chia University, Taichung, Taiwan. His research interests include optimal control, intelligent control, robust control, computer vision, image processing, vehicle active safety and control. He is a Member IEEE.

Seshadhri Srinivasan is currently working with the Group of Researchers in Automatic Control Engineering (GRACE), University of Sannio, Benevento, Italy. He obtained his PhD in Control Systems from National Institute of Technology-Tiruchirappalli, and Masters from Anna University, Chennai, India. He worked as an Associate Scientist in ABB Corporate research and as a Scientist with Center for Excellence in Nonlinear Systems (CENS), Estonia. His research interests are in smart grids, networked control systems, cyber-physical systems, and model checking software systems. He has published around 50 research articles in International Journals and Conferences. He has been in the organizing committee of many conferences and reviewed for leading journals. He has worked in two EU projects on smart grids (I3RES and eGotham), and complex networked control systems. He is a member of IEEE, ACCS and has been actively involved in various activities of the society.