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A proportional controller based on clustering theory: An academic example of a machine learning discipline

Author
Acho, L.; Buenestado, P.
Type of activity
Presentation of work at congresses
Name of edition
22nd International Conference on Circuits, Systems, Communications and Computers
Date of publication
2018
Presentation's date
2018-07-17
Book of congress proceedings
CSCC 2018: 22nd International Conference on Circuits, Systems, Communications and Computers: Mallorca, Spain: July 14-17, 2018: proceedings book
Publisher
EDP Sciences
DOI
https://doi.org/10.1051/matecconf/201821002005 Open in new window
Project funding
DPI2015-64170-R/MINECO/FEDER
Repository
http://hdl.handle.net/2117/123077 Open in new window
Abstract
The main objective of this paper is to present a controller design based on the K-means clustering theory. The controller is realized in such way that when the plant output is located outside of the designed clustering set, the controller forces it to be in it. Moreover, and according to our real experiment applied to stabilize an unstable integrator plant, our controller approach design is also robust against un-vanishing perturbations and nonlinearity effects on the overall closed-loop system ...
Citation
Acho, L., Buenestado, P. A proportional controller based on clustering theory: an academic example of a machine learning discipline. A: International Conference on Circuits, Systems, Communications and Computers. "CSCC 2018: 22nd International Conference on Circuits, Systems, Communications and Computers: Mallorca, Spain: July 14-17, 2018: proceedings book". EDP Sciences, 2018, p. 1-3.
Keywords
Bandwidth, Bandwidth frequency, Closed loop systems, Computer circuits, Controller designs, Controller forces, Controllers, K - means clustering, Learning systems, Nonlinearity effect, Plant output, Proportional controller, Slew rate
Group of research
CoDAlab - Control, Dynamics and Applications
STH - Sustainability, Technology and Humanism

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