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

@article{Faqir:2023:10.1109/TAC.2022.3186829,
author = {Faqir, O and Kerrigan, E},
doi = {10.1109/TAC.2022.3186829},
journal = {IEEE Transactions on Automatic Control},
pages = {3316--3330},
title = {Inaccuracy matters: Accounting for solution accuracy in event-triggered nonlinear model predictive control},
url = {http://dx.doi.org/10.1109/TAC.2022.3186829},
volume = {68},
year = {2023}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - We consider the effect of using approximate system predictions in event-triggered control schemes. These approximations often result from using numerical transcription methods for solving continuous-time optimal control problems. Mesh refinement can guarantee upper bounds on the errorin the differential equations that model the system dynamics. We employ the accuracy guarantees of a mesh refinement scheme to show that the proposed event-triggering scheme, which compares the measured system with approximate state predictions, can be used with a guaranteed strictly positive inter-update time. Furthermore, if knowledge of the employedtranscription scheme or the approximation errors are available, then better online estimates of inter-update times can be obtained. We also detail a method of tightening constraints on the approximate system trajectory to guarantee constraint satisfaction of the continuous-time system. This is the first work to incorporate prediction accuracy in triggering metrics to guarantee reliable lower bounds for inter-update times and perform solution-dependent constraint tightening.
AU  - Faqir,O
AU  - Kerrigan,E
DO  - 10.1109/TAC.2022.3186829
EP  - 3330
PY  - 2023///
SN  - 0018-9286
SP  - 3316
TI  - Inaccuracy matters: Accounting for solution accuracy in event-triggered nonlinear model predictive control
T2  - IEEE Transactions on Automatic Control
UR  - http://dx.doi.org/10.1109/TAC.2022.3186829
UR  - http://hdl.handle.net/10044/1/97879
VL  - 68
ER  -
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