NDLI: System Identification using Slow and Irregular Output Samples

Content Provider	IEEE Xplore Digital Library
Author	Yucai Zhu Telkamp, H.
Copyright Year	2005
Description	Author affiliation: Control System Group, Department of Electrical Engineering, Eindhoven University of Technology, P.O.Box 513,5600 MB Eindhoven, The Netherlands, Also at Tai-Ji Control, Grensheuvel 10, 5685 AG Best, The Netherlands, y.zhu@taijicontrol.com. y.zhu@tue.nl (Yucai Zhu)
Abstract	Identification of systems with very slowly and irregularly sampled output data is considered. While the input is sampled uniformly and frequently enough, the output sampling time is assumed very long, say, much longer than the dominant time constants. The output sampling may be irregular. Dual-rate system with slow output samples is a special case of the problem studied here. Model structures for the identification of the fast rate models will be proposed. Output error method is proposed and motivated for parameter estimation. Consistence of the estimate is established and covariance expression of the parameters is derived. Simulation studies will be used to illustrate the method. The developed identification method can also be used in other fields where measurement delay is a major problem.
Starting Page	3608
Ending Page	3613
File Size	178117
Page Count	6
File Format	PDF
ISBN	0780395670
DOI	10.1109/CDC.2005.1582722
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-15
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	IEEE/EUCA
Subject Keyword	System identification Sampling methods Predictive models Parameter estimation Frequency Process control Control systems Interpolation Delay Predictive control
Content Type	Text
Resource Type	Article

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