Multiplexed Model Predictive Control
Abstract:
This talk describes a form of 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 requires on-line optimization, hence computational complexity can become an issue when applying MPC to complex systems with fast response times. The multiplexed MPC 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. Multiplexed MPC provides a natural form of distributed MPC in some applications, as will be illustrated on an air-traffic management example.
Biography:
Jan Maciejowski is a Professor of Control Engineering in the Department of Engineering at the University of Cambridge, England, where he is Head of the Information Engineering Division, and a member of the Control Group. He is also the President and a Fellow of Pembroke College, Cambridge. He is a member of the IETs Sector Panel for Innovation and Emerging Technologies. He was the President of the European Union Control Association from 2003 to 2005, and was President of the Institute of Measurement and Control for 2002. He is a Chartered Engineer, a Fellow of the Institution of Engineering and Technology, and a Senior Member of the Institute of Electrical and Electronic Engineers. He was a Distinguished Lecturer of the IEEE Control Systems Society from 2001 to 2007. Jan Maciejowski graduated from Sussex University in 1971 with a B.Sc degree in Automatic Control, and from Cambridge University in 1978 with a Ph.D degree in Control Engineering. From 1971 to 1974 he was a Systems Engineer with Marconi Space and Defence Systems Ltd, working mostly on attitude control of spacecraft and high-altitude balloon platforms. His academic research has been concerned with multivariable control, system identification, computer-aided design of control systems, and model predictive control. He is the author of the textbooks "Multivariable Feedback Design" (1989) and "Predictive Control with Constraints" (2002).