Fault Tolerant Control Using Gaussian Processes and Model Predictive Control
Fault Tolerant Control Using Gaussian Processes and Model Predictive Control
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DOI：
10.1515/amcs-2015-0010
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发表时间：
2013-10
影响因子：
1.9
通讯作者：
Xiaoke Yang;J. Maciejowski
中科院分区：
文献类型：
--
作者：
Xiaoke Yang;J. Maciejowski
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.
