Imperial College London

ProfessorEricKerrigan

Faculty of EngineeringDepartment 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{Nie:2023:10.1109/TAC.2022.3144131,
author = {Nie, Y and Kerrigan, E},
doi = {10.1109/TAC.2022.3144131},
journal = {IEEE Transactions on Automatic Control},
pages = {548--555},
title = {Solving dynamic optimization problems to a specified accuracy: an alternating approach using integrated residuals},
url = {http://dx.doi.org/10.1109/TAC.2022.3144131},
volume = {68},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - We propose a novel direct transcription and solution method for solving nonlinear, continuous-time dynamic optimization problems. Instead of forcing the dynamic constraints to be satisfied only at a selected number of points as in direct collocation, the new approach alternates between minimizing and constraining the squared norm of the dynamic constraint residuals integrated along the whole solution trajectories. As a result, the method can 1) obtain solutions of higher accuracy for the same mesh compared to direct collocation methods, 2) enables a flexible trade-off between solution accuracy and optimality, 3) provides reliable solutions for challenging problems, including those with singular arcs and high-index differential algebraic equations.
AU - Nie,Y
AU - Kerrigan,E
DO - 10.1109/TAC.2022.3144131
EP - 555
PY - 2023///
SN - 0018-9286
SP - 548
TI - Solving dynamic optimization problems to a specified accuracy: an alternating approach using integrated residuals
T2 - IEEE Transactions on Automatic Control
UR - http://dx.doi.org/10.1109/TAC.2022.3144131
UR - https://ieeexplore.ieee.org/document/9684961
UR - http://hdl.handle.net/10044/1/94250
VL - 68
ER -