Yongduan Song
Keynote Speakers / Details

Yongduan Song
Bio:
Yongduan Song is an IEEE Fellow and a Registered Professional Engineer (USA). He has published 12 monographs and 300 papers. He also holds more than 80 patents. He served/has been serving as Associate Editor for several internationally renowned academic journals, including IEEE Trans. On Automatic Control, IEEE Trans. on Intelligent Transportation Systems, etc. He is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems. His current research interests include advanced control theory, artificial intelligence and the related applications.
Keynote Title:
Neuroadaptive PID Control with Application to Unmanned Systems
Keynote Abstract:
Proportional-Integral-Derivative (PID) Control has been widely utilized in many engineering systems due to its simplicity in structure and intuition in concept. However, its applicability to higher order uncertain nonlinear systems remains unclear. This talk is focused on PID control of nonlinear MIMO systems under actuation faults and modeling uncertainties. Neuroadaptive algorithms for PID gain tuning will be presented and discussed. Application to unmanned systems will be demonstrated.