期刊名称:International Journal of Applied Mathematics and Computer Science
电子版ISSN:2083-8492
出版年度:2015
卷号:25
期号:1
DOI:10.1515/amcs-2015-0010
出版社:De Gruyter Open
摘要: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