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Extensions to “Output prediction under scarce data operation: control applications”
Authors:Ragnar Wallin  Alf J Isaksson  Olof Norus
Affiliation:a Department of Signals, Sensors and Systems, Process Control, Royal Institute of Technology, SE–100 44 Stockholm, Sweden;b Department of Industrial Technology, Mid Sweden University, SE–891 18 Örnsköldsvik, Sweden
Abstract:Albertos et al. (Automatica, 35 (1999) 1671–1681), proposed a simple and computationally cheap output estimation algorithm for systems where some output data is missing. In the original paper, a stability analysis of the algorithm is provided for the special case that every Nth sample of the output is observed. We here show how the stability can be analysed for arbitrary periodical missing data patterns.
Keywords:Output estimation  State estimation  Missing data  Unconventional sampling
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