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{Kerrigan:2014:10.1109/ECC.2014.6862630,
author = {Kerrigan, EC},
doi = {10.1109/ECC.2014.6862630},
pages = {2484--2489},
publisher = {IEEE},
title = {Co-design of Hardware and Algorithms for Real-time Optimization},
url = {http://dx.doi.org/10.1109/ECC.2014.6862630},
year = {2014}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - It is difficult or impossible to separate the performance of an optimization solver  from the architecture of the computing system on which the algorithm is implemented. This is particularly true if measurements from a physical system are used to update and solve a sequence of mathematical optimization problems in real-time, such as in control, automation, signal processing and machine learning. In these  real-time optimization applications the designer has to trade off computing time, space and energy against each other, while satisfying constraints on the performance and robustness of the resulting cyber-physical system. This paper is an informal introduction to the issues involved when designing the computing hardware and a real-time optimization algorithm at the same time, which can result in  systems with efficiencies and performances that are unachievable when designing the  sub-systems independently. The co-design process can, in principle, be formulated as a sequence of uncertain and non-smooth optimization problems. In other words, optimizers might be used to design optimizers. Before this can become a reality, new systems theory and numerical  methods will have to be developed  to solve these co-design problems effectively and reliably.
AU  - Kerrigan,EC
DO  - 10.1109/ECC.2014.6862630
EP  - 2489
PB  - IEEE
PY  - 2014///
SP  - 2484
TI  - Co-design of Hardware and Algorithms for Real-time Optimization
UR  - http://dx.doi.org/10.1109/ECC.2014.6862630
UR  - http://hdl.handle.net/10044/1/13999
ER  -
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