EAISI lecture by visiting Professor Mahdi Shahbakhti

Professor Mahdi Shahbakhti, Professor at the University of Alberta, Canada, is a guest of Frank Willems, Full Professor of Control Systems Technology at the department of Mechanical Engineering.

Title  |  Machine Learning for Monitoring and Control of Automotive Vehicles 

The automotive industry is undergoing major changes, with substantial growth in the areas of connectivity and autonomy. The majority of new vehicles sold in North America/Europe have capability for connectivity and data transfer. There are currently over 230 million connected vehicles worldwide [statista.com]. Data from vehicles can be used to monitor and decrease both vehicular emissions and energy consumption, reduce traffic congestion, and improve mobility. In this talk, integration of machine learning (ML) for control of automotive systems will be discussed. In particular, five areas for integration of machine learning and model predictive control (MPC) will be illustrated. These areas include ‘‘ML in the model structure of MPC’’, ‘‘ML in control structure of MPC’’, ‘‘ML in optimization of MPC’’, ‘‘ML in imitation of MPC’’, and ‘‘MPC for safe learning controller’’. This talk will include presentation of real-world light-duty and heavy-duty vehicle test data in Canada along with the test cell laboratory data for monitoring and control of tailpipe emissions and fuel consumption from powertrains/vehicles.