From: dengdehao@gmail.com   
      
   Dear All,   
      
   You are all cordially invited to the following 2 hr tutorial co-organized by   
   the IEEE CIS Singapore Chapter and the ST Engineering – NTU Corporate   
   Laboratory.   
       
   Type-2 Fuzzy Logic Systems   
   By Dr. Erdal Kayacan (NTU, MAE)   
       
   Venue: Executive Seminar Room (S2.2-B2-53)   
       
   Date & Time: Fri Nov 4 at 2-4 pm   
       
   Abstract: In model-based control, the control accuracy highly depends on the   
   representativeness of the model describing the system behaviour. In real life,   
   the information one can learn from a system is always uncertain and limited in   
   scope due to the    
   noise from both inside and outside of that system as well as the limitations   
   of our cognitive abilities. Even if an accurate model of the system is   
   available, the control system encounters various environmental conditions   
   (such as humidity, temperature,    
   etc.). These time varying working conditions might decrease the control   
   accuracy or even lead overall control system to instability when a   
   conventional controller, e.g. a proportional-integral-derivative (PID)   
   controller, is used. Since conventional    
   controllers have time invariant coefficients and do not have the ability of   
   adapting themselves to changing conditions, they are not suitable to be used   
   in such changing working conditions. The use of advanced learning algorithms,   
   which can learn the    
   operational dynamics online and adjust the operational parameters accordingly,   
   might be a candidate solution to all the aforementioned problems. In this   
   speech, model-free control and learning methods by using type-1 and type-2   
   fuzzy neural networks will    
   be addressed to handle various real-time problems.   
       
       
   Short Bio:   
   Dr. Erdal Kayacan received the B.Sc. degree in electrical engineering in 2003   
   from Istanbul Technical University in Istanbul, Turkey as well as a M.Sc.   
   degree in systems and control engineering in 2006 from Bogazici University in   
   Istanbul, Turkey. In    
   September 2011, he received the Ph.D. degree in electrical and electronic   
   engineering at Bogazici University in Istanbul, Turkey. After finishing his   
   post-doctoral research in KU Leuven at the division of mechatronics,   
   biostatistics and sensors (MeBioS),    
   he is currently pursuing his research in Nanyang Technological University at   
   the School of Mechanical and Aerospace Engineering as an assistant professor.   
      
   He has published more than 50 refereed journal and conference papers in the   
   area of intelligent control, fuzzy systems and grey systems theory. His   
   research areas are flight dynamics and control, unmanned aerial vehicles,   
   robotics, mechatronics, soft    
   computing methods, sliding mode control and model predictive control. Dr.   
   Kayacan is a Senior Member of IEEE and active in the IEEE SMC Technical   
   Committee on Grey Systems. He has been serving as an editor in Journal on   
   Automation and Control Engineering    
   (JACE) and editorial advisory board in Grey Systems Theory and Application.   
      
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    * Origin: you cannot sedate... all the things you hate (1:229/2)