Fault Tolerant Control Using Gaussian Processes and Model Predictive Control

Xiaoke Yang; Jan M. Maciejowski

doi:10.1515/amcs-2015-0010

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Fault Tolerant Control Using Gaussian Processes and Model Predictive Control

International Journal of Applied Mathematics and Computer Science

Volume 25 (2015): Issue 1 (March 2015)

By: Xiaoke Yang and Jan M. Maciejowski

Open Access

|Mar 2015

Abstract

Essential ingredients for fault-tolerant control are the ability to represent system behaviour following the occurrence of a fault, and the ability to exploit this representation for deciding control actions. Gaussian processes seem to be very promising candidates for the first of these, and model predictive control has a proven capability for the second. We therefore propose to use the two together to obtain fault-tolerant control functionality. Our proposal is illustrated by several reasonably realistic examples drawn from flight control.

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Articles in this issue

DOI: https://doi.org/10.1515/amcs-2015-0010 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 133 - 148

Submitted on: Jan 31, 2014

Published on: Mar 25, 2015

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

fault-tolerant control,

Gaussian process,

model predictive control,

aircraft control,

probabilistic modelling

Related subjects:

Mathematics,

Applied mathematics

© 2015 Xiaoke Yang, Jan M. Maciejowski, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 25 (2015): Issue 1 (March 2015)