| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 710220 | IFAC Proceedings Volumes | 2009 | 6 Pages |
Abstract
AbstractIn recent years there has been much research performed in developing Distributed Model Predictive Control (DMPC) techniques which allow a Model Predictive Control (MPC) scheme to be distributed amongst a number of agents. By optimizing the weights in an MPC system, performance can be improved. In this paper, a PSO based weight optimization method for a DMPC system is developed and it is shown how DMPC performance can be optimized whilst constraining the number of iterations of the optimization algorithm.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Dr. Gordon Lightbody, Paul Mc Namara,