Interval analysis methods in lecture course of digital procession of information

Abstract

In addition to study of the standard statistical methods, ones of the interval analysis have been introduced into engineering lecture courses joined with digital processing information, parameter and state estimation of corrupted data. The paper introduces materials of the lecture course devoted to robust parameter and state estimation techniques in a bounded-error context in the presence of outliers. Several examples illustrating the course content are given. © 2012 IFAC.