Title :
Critical evaluation of online identification methods
Author :
Sinha, N.K. ; Sen, A.
Author_Institution :
McMaster University, Department of Electrical Engineering, Hamilton, Canada
fDate :
10/1/1975 12:00:00 AM
Abstract :
Seven different methods for online system identification are discussed and compared for the realistic case when the input-output data are contaminated with noise. The performance of each method is evaluated for different noise-to-signal ratios, for a simulated 2nd-order system, as well as for data obtained from a 2-stage heat-exchanger system under operating conditions. The comparison provides considerable insight into the application of these methods to the online identification of actual processes.
Keywords :
adaptive control; control engineering applications of computers; identification; noise; online operation; critical evaluation; input output data contamination; noise; online identification methods;
Journal_Title :
Electrical Engineers, Proceedings of the Institution of
DOI :
10.1049/piee.1975.0284
