Adaptive Fuzzy Control and Robotics Using Fuzzy Deep and Broad Learning Neural Networks

Ching-Chih Tsai

Fellow of IEEE, IET, CACS, and RST
Life Distinguished Professor, Department of Electrical Engineering,
National Chung-Hsing University, Taichung, Taiwan


Deep learning (DL) has been widely investigated and applied for many engineering applications. Broad learning system (BLS) has been shown to work as an effective and efficient incremental learning without the need for deep architecture, thus giving a new paradigm and learning system for AI systems.  By incorporating with the merits of DL, variant BLSs and fuzzy logics, this talk will present you fuzzy DL-based and fuzzy BLS-based control frameworks for a class of nonlinear systems and mobile robots and multirobots. In the short talk, some advances on fuzzy DL NN and fuzzy BLSs are first reported, their applications to control of nonlinear dynamic systems and wheeled robots and multirobots are mentioned in some detail. Experimental results are provided to illustrate the merits of the proposed methods.   Last but not least, some perspective topics on fuzzy deep and broad learning methods are recommended for future research.


Ching-Chih Tsai received the Diplomat in Electrical Engineering from National Taipei Institute of Technology, Taipei, Taiwan, ROC, the MS degree in Control Engineering from National Chiao Tung University, Hsinchu, Taiwan, and the Ph.D degree in Electrical Engineering from Northwestern University, Evanston, IL, USA, in 1981, 1986 and 1991, respectively. Currently, he is currently a Life Distinguished Professor in the Department of Electrical Engineering, National Chung-Hsing University, Taichung, Taiwan, where he served the Chairman in the Department of Electrical Engineering from 2012 to 2014. Since February, 2021, he has also served the Dean of the R&D Office, NCHU. He is a Fellow of IEEE, IET, CACS, and RST.

Prof. Tsai served as the Chair, Taipei Chapter, IEEE Control Systems Society, from 2000 to 2003, and the Chair, Taipei Chapter, IEEE Robotics and Automation Society from 2005 to 2006. In 2007, he was the program chair of 2007 CACS international automatic conference sponsored by Taipei chapter, IEEE control systems society. In 2010, he served as the program co-chair of SICE 2010 annual conference in Taiwan, which was technically sponsored by IEEE CSS; in 2011, he served as the General Chair, 2011 International conference on service and interactive robotics; in 2012, he has served as the General Chair, 2012 International conference on Fuzzy Theory and Its Applications, the General Chair, 2012-2015 CACS International Automatic Control Conferences, and the General Chair, 2016-2019 International Conference on Advanced Robotics and Intelligent Systems. Dr. Tsai served the two-term President, Chinese Institute of Engineers in Central Taiwan, Taiwan from 2007 to 2011, two-term President of Chinese Automatic Control Society from 2012 to 2015, and two-term President of Robotics Society of Taiwan form 2016 to 2019. Dr. Tsai also served as a steering committee of Asian Control Association from 2014 to 2019, and a BOG member of the IEEE SMCS from 2017 to 2019, a Vice President of International Fuzzy Systems Association from 2015 to 2019. Furthermore, he has been the Executive Directors in Boards of Government of thee professional associations, including Robotic Society of Taiwan, Taiwan Fuzzy Systems Association, and Taiwan Systems Association since 2009, the Chair, Taichung Chapter, IEEE Systems, Man, and Cybernetics Society since 2009, the Chair of IEEE SMC Technical Committee on intelligent learning in control systems since 2009, a BOG member of IEEE Nanotechnology council since 2012, and the President-Elect of International Fuzzy Systems Association since 2019.  

Dr. Tsai has published more than 600 technical papers, and seven patents in the fields of control theory, systems technology and applications. Dr. Tsai is respectively the recipients of the Third Society Prize Paper Award from IEEE Industry Application Society in 1998,  the Outstanding Automatic Control Engineering Award in 2008 from Chinese Automatic Control Society (CACS), and the Outstanding Engineering Professor Award in 2009 from the Chinese Institute of Engineers in 2009, the IEEE Most Active SMC Technical Committee (TC) Award in 2012 from IEEE SMC Society, the Outstanding Electrical Engineering Professor Award from the Chinese Institute of Electrical Engineering in 2014, Outstanding Industry Contribution Award from Taiwan Systems Association in 2016, and the 2018 outstanding research award from the Ministry of Science and Technology (MOST), Taiwan, the 2019 RST Fellow, the 2020 Outstanding Robotics Engineering Medal from Robotics Society of Taiwan, and many best paper awards from many international conferences technically supported by IEEE. He is the advisor, IEEE SMC student branch chapter at National Chung Hsing University; this chapter was the recipient of certificate of appreciation from IEEE SMCS in 2009. He has served as the associate editors of International Journal of Fuzzy Systems, and IEEE Transactions on Systems, Man and Cybernetics: Systems, IEEE Transactions on Industry Informatics, and International Journal of Electrical Engineering. He served as the Editor in Chief of a new international robotics journal called “iRobotics” from 2018 to 2019. His current interests include fuzzy systems, fuzzy deep NN control, advanced nonlinear control methods, deep model predictive control, , deep neural-network control, advanced mobile robotics, intelligent service robotics, intelligent mechatronics, and intelligent learning control methods with their applications to intelligent automation, AI robots, smart machinery and smart agriculture.