Fault tolerant control using Gaussian processes and model predictive control

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.This research was supported by EU Framework Programme 7, project 314544, RECONFIGURE: Reconfiguration of Control in Flight for Integral Global Upset Recovery, as well as the China Scholarship Council and the Cambridge Overseas Trust.This is the final published version. It first appeared at http://www.degruyter.com/view/j/amcs.2015.25.issue-1/amcs-2015-0010/amcs-2015-0010.xml