Distributed Synthesis and Validation of Model Predictive Controllers

Abstract:

We consider a distributed Model Predictive Control scheme based on dual decomposition of the optimization problem in each sample. We give a suboptimality bound that can be calculated in a distributed on-line fashion using this scheme. The bound measures the effect of suboptimal decomposition as well as the effect of bounded prediction horizon. Examples are given, where the conservatism can be evaluated.

Biography:Anders Rantzer was born in 1963. He received a Ph.D. degree in optimization and systems theory from the Royal Institute of Technology (KTH), Stockholm, Sweden. After postdoctoral positions at KTH and at IMA, University of Minnesota, he joined the Department of Automatic Control at Lund Univeristy in 1993. He was appointed professor of Automatic Control in Lund 1999. The academic year of 2004/05 he was visiting associate faculty member at Caltech.

Rantzer has been serving as associate editor of IEEE Transactions on Automatic Control and several other journals. He is a winner of the SIAM Student Paper Competition, the IFAC Congress Young Author Price and the IET Premium Award for the best article in IEE Proceedings - Control Theory & Applications during 2006. He is a Fellow of IEEE and a member of the Royal Swedish Academy of Engineering Sciences.

His research interests are in modeling, analysis and synthesis of control systems, with particular attention to uncertainty, optimization and distributed control.