学术报告第201871期

报告题目：Nonlinear Control for Intelligent Vehicles

报 告 人：江菁晶

报告时间：2018年12月28日9:30—10:30

报告地点：南一楼中315

报告摘要：Vehicles are mobile machines transporting people or cargo from one place to another. Typical vehicles include mobile robots, bicycles, motor vehicles (motorcycles, cars, buses, trucks, etc.), railed vehicles (trains, trams, etc.), aircraft and ships. This presentation focuses on the control problems of mobile robots, motorcycles, and rear-wheel drive cars. Two types of control problems have been looked into. One is the auto-driving control problem which aims to design a feedback controller performing as an auto-pilot; the other is the assistant-driving control problem which aims to design controllers to help human operators and improve their performance. The key issue for the auto-driving control design is the robustness of the controller, while the challenges for the development of assistant-driving controls are the stability proof of the system with existence of human driver and the smooth transformation of the control authority between the feedback controller and the human operator. This talk presents challenges, design strategies and mathematical proofs of the stability of the closed-loop systems. Simulation results on various systems, together with experimental ones on BMW-C1 Scooter and wheelchairs are given to show the effectiveness of the proposed control schemes.

报告人简介：Dr. Jingjing Jiang, currently a Lecturer in Intelligent Mobility / Autonomous Vehicles in the Department of Aeronautical and Automotive Engineering (AAE) at Loughborough University, was born in China. She earned the B.Eng degree in Electronic and Electrical Engineering from the University of Birmingham, UK and the B.Eng degree in Measurement, Control Technology and Instrument from the Harbin Institute of Technology, China, in 2010, the M.Sc. degree in Control Systems with Departmental prize for Outstanding Achievement from Imperial College London, UK, in 2011, and the Ph.D. degree from Imperial College London, in 2016,with a thesis on Shared-Control for Systems with Constraints. After completing PhD, she was appointed as a Research Associate in the Control and Power Group at Imperial College London. She has joined AAE Department at Loughborough University as a Lecturer since September 2018. Her research interests include control design of systems with constrains, human-in-the-loop, ADAS design and development of autonomous vehicles. She is the first author of over 10 peer-reviewed publications, including publications on IEEE TAC and IEEE TCST. She is currently a Co-investigator for a Technology Strategy Board funded project, Virtual Vehicle Integration and Development (£3.2M, 01/01/2019-31/12/2021).