@inproceedings{9bcac176fe2945589ccce70347f101be,

title = "Randomized Controls for Linear Plants and Confidence Regions for Parameters under External Arbitrary Noise",

abstract = "This paper considers the possibilities of randomized controls for designing confidence regions for unknown parameters. The assumptions about external noise that affect a linear plant are reduced to a minimum: external noise can virtually be arbitrary, but, independently of it, the user must be able to add test perturbations through the input channel. Based on a finite set of observations, we suggest a new procedure which can be used in adaptive control schemes. It has been developed in the general framework of {"}counting of leave-out sign-dominant correlation regions{"} (LSCR), which is mostly being promoted by M. Campi et al. for identification problems. The procedure returns confidence regions which are guaranteed to contain true parameters with a user-chosen probability. The theoretical results are illustrated by an example of a nonminimum-phase second-order plant.",

author = "K. Amelin and O. Granichin",

year = "2012",

language = "Английский",

isbn = "978-1-4577-1095-7",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "851--856",

booktitle = "2012 AMERICAN CONTROL CONFERENCE (ACC)",

address = "Соединенные Штаты Америки",

note = "null ; Conference date: 27-06-2012 Through 29-06-2012",

}