Towards Parallel Implementation of Hybrid MPC - A Survey and Directions for Future Research

Abstract:

Multi-core and multi-processor architectures are becoming more and more common as the way to increase computational performance in computers. To continue to increase the clock-frequency is no more a feasible approach. In addition to this clusters and grids are nowadays often used for large-scale computations. Because of this parallel implementations are needed in order to utilize the full potential of these parallel architectures. An important class of large-scale problems in control is Model Predictive Control (MPC) of hybrid systems with potential applications in transportation, logistics, economics, process control, building control, airplane routing problems and communications. We will in this talk make recommendations for future research in parallel implementations of hybrid MPC schemes. To motivate these recommendations surveys of hybrid MPC, decentralized MPC, and parallel algorithms for discrete optimization will be given.

Biography:Anders Hansson was born in Trelleborg, Sweden, in 1964. He received the Master of Science degree in Electrical Engineering in 1989, the Degree of Licentiate of Engineering in Automatic Control in 1991, and the PhD in Automatic Control in 1995, all from Lund University, Lund, Sweden. From 1995 until 1997 he was a postdoctoral student, and from 1997 until 1998 a research associate at the Information Systems Lab, Department of Electrical Engineering, Stanford University. In 1998 he was appointed assistant professor and in 2000 associate professor (docent) at S3-Automatic Control, Royal Institute of Technology, Stockholm, Sweden. In 2001 he was appointed associate professor at the Division of Automatic Control, Linköping University. From 2006 he is full professor at the same department. Anders Hansson is a senior member of the IEEE. During 2006-2007 he was an associate editor of the IEEE Transactions on Automatic Control. He is also a member of the EUCA Council from 2009, and of Technical Committee on Systems with Uncertainty of the IEEE Control Systems Society from 2009. His research interests are within the fields of optimal control, linear systems, signal processing, applications of control, and telecommunications.