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    JI keynote Lecture 2020-2

    时间: 2020-11-02 17:07:09  来源:   发布单位:   点击:

    (1)a brief introduction and a picture of yourself ;

    Haiping Du received the Ph.D. degree in mechanical design and theory from Shanghai Jiao Tong University, Shanghai, China, in 2002. He was a Research Fellow with the University of Technology, Sydney, from 2005 to 2009, and was a Postdoctoral Research Associate with Imperial College London from 2004 to 2005 and the University of Hong Kong from 2002 to 2003. He is currently a Professor at the School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Australia. He is a Subject Editor of the Journal of Franklin Institute, an Associate Editor of IEEE Transactions on Industrial Electronics and IEEE Control Systems Society Conference, an Editorial Board Member for some international journals, such as Journal of Sound and Vibration, IMechE Journal of Systems and Control Engineering, Journal of Low Frequency Noise, Vibration and Active Control, and a Guest Editor of IET Control Theory and Application, Mechatronics, Advances in Mechanical Engineering, etc. His research interests include vibration control, vehicle dynamics and control systems, robust control theory and engineering applications, electric vehicles, robotics and automation, smart materials and structures. He is a recipient of the Australian Endeavour Research Fellowship (2012).


    (2) the lecture topic and lecture content;

    Topic: Intelligent Control and Fuzzy System

    Contents: 1-Introduction to intelligent control and fuzzy sets

                    2- Fuzzy Logic Toolbox

                    3- Fuzzy inference system

                    4- Fuzzy controller design


    (3)the meeting link

    Topic: CCNU Lecture 1

    Time: Nov 3, 2020 9:30-11:30 (Beijing time)  


    Join from PC, Mac, Linux, iOS or Android:

    https://uow-au.zoom.us/j/83878149700?pwd=VDlYUUJMUGdpL0pjWTlaYUE3bk5Fdz09


    Meeting ID: 838 7814 9700

    Password: 808406


    Topic: CCNU Lecture 2

    Time: Nov 4, 2020 9:30-11:30 (Beijing time)  

    Join from PC, Mac, Linux, iOS or Android:

    https://uow-au.zoom.us/j/84378588903?pwd=WnF2ck4rU1Q1d0lrUVBJeDZFSGZXdz09


    Meeting ID: 843 7858 8903

    Password: 278706




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