Imperial College London
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ProfessorEricKerrigan

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Control and Optimization
 
 
 
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Contact

 

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

 
 
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Assistant

 

Mrs Raluca Reynolds +44 (0)20 7594 6281

 
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Location

 

1114Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Palma:2015:10.1016/j.ifacol.2015.11.306,
author = {Palma, V and Suardi, A and Kerrigan, EC},
doi = {10.1016/j.ifacol.2015.11.306},
pages = {360--365},
publisher = {Elsevier},
title = {Sensitivity-based multistep MPC for embedded systems},
url = {http://dx.doi.org/10.1016/j.ifacol.2015.11.306},
year = {2015}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - In model predictive control (MPC), an optimization problem is solved every sampling instant to determine an optimal control for a physical system. We aim to accelerate this procedure for fast systems applications and address the challenge of implementing the resulting MPC scheme on an embedded system with limited computing power. We present the sensitivity-based multistep MPC, a strategy which considerably reduces the computing requirements in terms of floating point operations (FLOPs), compared to a standard MPC formulation, while fulfilling closed- loop performance expectations. We illustrate by applying the method to a DC-DC converter model and show how a designer can optimally trade off closed-loop performance considerations with computing requirements in order to fit the controller into a resource-constrained embedded system.
AU  - Palma,V
AU  - Suardi,A
AU  - Kerrigan,EC
DO  - 10.1016/j.ifacol.2015.11.306
EP  - 365
PB  - Elsevier
PY  - 2015///
SN  - 1474-6670
SP  - 360
TI  - Sensitivity-based multistep MPC for embedded systems
UR  - http://dx.doi.org/10.1016/j.ifacol.2015.11.306
UR  - http://hdl.handle.net/10044/1/41296
ER  -
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