Fault Tolerant Control Using Gaussian Processes and Model Predictive Control

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 p...

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Bibliographic Details
Published inInternational journal of applied mathematics and computer science Vol. 25; no. 1; pp. 133 - 148
Main Authors Yang, Xiaoke, Maciejowski, Jan M.
Format Journal Article
LanguageEnglish
Published Zielona Góra De Gruyter Open 01.03.2015
De Gruyter Poland
Sciendo
Subjects
aircraft control
Computer simulation
Control systems
Fault tolerance
fault-tolerant control
Faults
Gaussian
Gaussian process
Mathematical models
model predictive control
Predictive control
probabilistic modelling
Representations
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Summary: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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ISSN:2083-8492
1641-876X
2083-8492
DOI:10.1515/amcs-2015-0010