Maciejowski, JM and Yang, X (2013) Fault tolerant control using Gaussian processes and model predictive control. In: UNSPECIFIED pp. 1-12..Full text not available from this repository.
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. © 2013 IEEE.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Divisions:||Div F > Control|
|Depositing User:||Cron Job|
|Date Deposited:||09 Dec 2016 17:35|
|Last Modified:||23 Jan 2017 11:09|