Imperial College London
Portrait Picture

ProfessorEricKerrigan

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Control and Optimization
 
 
 
//

Contact

 

+44 (0)20 7594 6343e.kerrigan Website

 
 
//

Assistant

 

Mrs Raluca Reynolds +44 (0)20 7594 6281

 
//

Location

 

1114Electrical EngineeringSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Longo:2011:10.1016/j.arcontrol.2011.10.008,
author = {Longo, S and Kerrigan, EC and Ling, KV and Constantinides, GA},
doi = {10.1016/j.arcontrol.2011.10.008},
journal = {Annual Reviews in Control},
pages = {207--214},
title = {A parallel formulation for predictive control with nonuniform hold constraints},
url = {http://dx.doi.org/10.1016/j.arcontrol.2011.10.008},
volume = {35},
year = {2011}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper investigates the use of parallel computing architectures (multi-core, FPGA, GPU) to solve, at each sampling instant, a constrained optimal control problem. A set of approximated (hence smaller) problems are solved simultaneously and the solution of the one with lower open-loop cost is implemented. The approximation consists of the inclusion of additional hold constraints, which effectively reduce the number of steps in the prediction. Since smaller problems are solved, and these are solved in parallel, the computational delay is reduced and faster sampling becomes an option. The proposed method can outperform, in terms of closed-loop cost, a standard receding horizon control formulation because higher sampling rates can improve performance, even if suboptimal solutions are considered. Feasibility and stability can be guaranteed by an appropriate selection of the hold constraints.
AU  - Longo,S
AU  - Kerrigan,EC
AU  - Ling,KV
AU  - Constantinides,GA
DO  - 10.1016/j.arcontrol.2011.10.008
EP  - 214
PY  - 2011///
SN  - 1872-9088
SP  - 207
TI  - A parallel formulation for predictive control with nonuniform hold constraints
T2  - Annual Reviews in Control
UR  - http://dx.doi.org/10.1016/j.arcontrol.2011.10.008
UR  - http://www3.imperial.ac.uk/people/s.longo
UR  - http://www.sciencedirect.com/science/article/pii/S136757881100037X
UR  - http://hdl.handle.net/10044/1/26457
VL  - 35
ER  -
Download