報告人: Prof. Wen-Hua Chen
講座日期：2020-12-09
講座時間：18:00
報告地點：騰訊會議（會議ID：938 918 367）
主辦單位：數(shù)學與信息科學學院
講座人簡介：
Dr Wen-Hua Chen holds Professor in Autonomous Vehicles in the Department of Aeronautical and Automotive Engineering at Loughborough University, UK. Prof. Chen has a considerable experience in control, signal processing and artificial intelligence and their applications in aerospace, automotive and agriculture systems. In the last 15 years, he has been working on the development and application of unmanned aircraft system and intelligent vehicle technologies, spanning autopilots, situational awareness, decision making, verification, remote sensing for precision agriculture and environment monitoring. His unmanned vehicles related research is widely supported by the UK government and industry. He is a Chartered Engineer, and a Fellow of IEEE, the Institution of Mechanical Engineers and the Institution of Engineering and Technology, UK. Recently Prof Chen was awarded the prestigious EPSRC (Engineering and Physical Science Research Council) Established Career Fellowship in developing control theory for next generation of control systems to enable high level of automation such as robotics and autonomous systems.
講座簡介：
It is well known that optimality does not imply stability. A related question which perhaps is more important from practical point view is: when does optimality imply stability? This question is relevant to many control and decision making methods including model predictive control (MPC), and is becoming ever more important since optimisation and search methods are behind most of artificial intelligence algorithms. This talk reviews the 30 years journey in the development of stability theory for MPC and recently progress. New stability theory will be presented which provides a better way in achieving stability guarantee without the need of adding a terminal weight in the cost function for online optimisation. Numerical examples will be presented to illustrate the new stability analysis tools.
