Academic Report
Title: Transaction management for real - time implementation of control model predictive control
Reporter: Mazen Alamir (University of Grenoble)
Time: June 5, 2019 (Wednesday) AM 9:00-9:40
Location: B1410# room, Innovation Park Building
Contact: WANG Lei (tel:84708351-8137)
Abstract: This lecture will introduce the achievements and experience of the development of electric vehicle propulsion power control technology.After a brief review of the basic results of optimization theory, two case studies will be conducted to demonstrate the application of real-time optimization and learning techniques in the power system of electric vehicles.The optimization of energy consumption decline layer based on learning demand torque prediction and the optimal control based on learning are studied.
The brief introduction to the reporter: Mazen Alamir is a professor at the university of Grenoble. His research interests include model predictive control, rolling time domain observation and biological system control.Major achievements: visiting fellow, centre for complex dynamic systems and control, Newcastle, Australia, 2008 and 2012. He has completed industrial contracts in a number of different directions including cryogenics, including building management systems, Stirling engines, intelligent residential areas (schneider electric), power electronics (stmicroelectronics), steam engines (SEB), tilting trains (alstom), etc.He has published about 220 papers, including about 70 peer-reviewed journal articles, two monographs and 13 industrial patents.
