Ultimately Bounded Filtering Subject to Impulsive Measurement Outliers

• Published in: IEEE transactions on automatic control Vol. 67; no. 1; pp. 304 - 319
• Main Authors: Zou, Lei, Wang, Zidong, Hu, Jun, Dong, Hongli
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Data analysis; Error analysis; Filtration; Impulsive measurement outliers (IMOs); Length measurement; matrix-fraction description (MFD); Noise measurement; Norms; Optimization; Outliers (statistics); parameter-dependent (PD) filter; Pollution measurement; Random variables; Stochastic processes; Symmetric matrices; Technological innovation; Time delay systems; ultimately bounded filtering; Upper bound

This article is concerned with the ultimately bounded filtering problem for a class of linear time-delay systems subject to norm-bounded disturbances and impulsive measurement outliers (IMOs). The considered IMOs are modeled by a sequence of impulsive signals with certain known minimum norm (i.e., t...