Fast online identification of low-order time-delayed industrial processes

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


Although online identification of low-order industrial processes is straightforward when the time delay is known and fixed, the problem becomes significantly more challenging when the delay is unknown and/or varying. Presented is a fast, exact recursive identification algorithm for this situation with a memory and time complexity that is linearly bound in the unknown delay. Experiments indicate the method significantly improves upon the memory and computation requirements typical of previous online methods, and possesses improved convergence properties.

Original languageEnglish
Pages (from-to)152-153
Number of pages2
JournalElectronics Letters
Issue number3
Publication statusPublished - 2 Feb 2012


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