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Fault tolerant control using Gaussian processes and model predictive control

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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.
Opis fizyczny
  • Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK
  • Department of Engineering, University of Cambridge, Trumpington Street, Cambridge, CB2 1PZ, UK
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