Reference
A. D. Sadowska,
J. M. Maestre, R. Kassing,
P. J. van Overloop, and B. De Schutter,
"Predictive control of a human-in-the-loop network system considering operator
comfort requirements,"
IEEE Transactions on Systems, Man and
Cybernetics: Systems, vol. 53, no. 8, pp. 4610-4622, Aug. 2023.
Abstract
We propose a model-predictive control (MPC)-based approach to solve a
human-in-the-loop control problem for a network system lacking sensors and
actuators to allow for a fully automatic operation. The humans in the loop are
therefore essential; they travel between the network nodes to provide the
remote controller with measurements and to actuate the system according to the
controller's commands. Time instant optimists MPC is utilized to compute when
the measurement and actuation actions are to take place to coordinate them with
the network dynamics. The time instants also minimize the burden of human
operators by tracking their energy levels and scheduling the necessary breaks.
Fuel consumption related to the operators' travel is also minimized. The
results in a digital twin of the Dez Main Canal illustrate that the new
algorithm outperforms previous methods in terms of meeting operational
objectives and taking care of human well-being, but at the cost of higher
computational requirements.
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BibTeX
@article{SadMae:23-014,
author = {Sadowska, Anna D. and Maestre, Jos{\'{e}} M. and Kassing, Ruud
and van Overloop, Peter Jules and De Schutter, Bart},
title = {Predictive Control of a Human-in-the-Loop Network System
Considering Operator Comfort Requirements},
journal = {IEEE Transactions on Systems, Man and Cybernetics: Systems},
volume = {53},
number = {8},
pages = {4610--4622},
month = aug,
year = {2023}
}