报告题目：Multiplexed Model Predictive Control
报 告 人： Keck-Voon LING教授（新加坡南洋理工大学）
In this talk, I will describe a form of Model Predictive Control (MPC) in which the control variables are moved asynchronously. This contrasts with most MIMO control schemes, which assume that all variables are updated simultaneously. MPC outperforms other control strategies through its ability to deal with constraints. This requires online optimization, hence computational complexity can become an issue when applying MPC to complex systems with fast response times. The Multiplexed MPC (MMPC) scheme described in this talk solves the MPC problem for each subsystem sequentially, and updates subsystem controls as soon as the solution is available, thus distributing the control moves over a complete update cycle. The resulting computational speed-up allows faster response to disturbances, which may result in improved performance, despite finding sub-optimal solutions to the original problem. The effectiveness of MMPC will be demonstrated through several application examples. This talk is suitable for a general audience. No sophisticated control background is expected.
Dr Keck-Voon LING is currently an Associate Professor in the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore. He received his B.Eng and DPhil degrees from the National University of Singapore and Oxford University, UK, respectively. He was awarded the Commonwealth Fellowship (2001) and the Tan Chin Tuan Fellowship (2006) and was a visiting researcher at the Department of Engineering, University of Cambridge. He also held a joint appointment as a senior scientist at the Singapore Institute of Manufacturing Technology (SIMTech) from 2005-2010. From 2006-2010, Dr Ling was the Programme Manager of the A*STAR Embedded and Hybrid Systems II (EHS-II) Research Programme, overseeing the R&D effort in Body Sensor Networks for Healthcare Applications. He was the general chair of the International Conference on Body Sensor Networks held in June 2010 in Singapore. Dr LING's main research interests include Model Predictive Control (MPC) and Moving Horizon Estimation (MHE), their embedded implementation and applications to fast dynamic systems. In recently years, he is applying his research to GNSS tracking loops, as well as in control and estimation to power grid applications.