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{McInerney:2018:10.1109/control.2018.8516728,
author = {McInerney, I and Kerrigan, EC},
doi = {10.1109/control.2018.8516728},
pages = {443--443},
publisher = {IEEE},
title = {Automated project-based assessment in a predictive control course},
url = {http://dx.doi.org/10.1109/control.2018.8516728},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Written assessments, such as book problems and exams, have customarily been used in control courses to measure student progress, but usually only gauge their knowledge of the theoretical concepts. More complicated control methods, such as predictive control, benefit from gauging student progress through implementation projects. We present a set of automatically marked project-based assessments that test student knowledge on concepts ranging from the derivation of physics models to the creation of a closed-loop predictive controller. We present a simulation framework that allows for the students to utilize any predictive control concepts that they decide to use in their implementation. The framework then automatically tests the student solutions against multiple constraint sets and conditions to provide quantitative data for marking the assessment.
AU  - McInerney,I
AU  - Kerrigan,EC
DO  - 10.1109/control.2018.8516728
EP  - 443
PB  - IEEE
PY  - 2018///
SP  - 443
TI  - Automated project-based assessment in a predictive control course
UR  - http://dx.doi.org/10.1109/control.2018.8516728
UR  - http://hdl.handle.net/10044/1/65353
ER  -
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