NDLI: System identification and long-range predictive control of multi-rate systems

Content Provider	IEEE Xplore Digital Library
Author	Dongguang Li Shah, S.L. Tongwen Chen Patwardhan, R.
Copyright Year	1999
Description	Author affiliation: Dept. of Chem. & Mater. Eng., Alberta Univ., Edmonton, Alta., Canada (Dongguang Li)
Abstract	Discusses system identification and model-based predictive control of multi-rate systems. In particular, the practically useful case of systems with fast manipulative variable sampling and slow output sampling is considered. The lifting method is used to analyze the multi-rate system in a state-space framework. A subspace identification algorithm, is first used to identify the lifted multi-rate system. The single-rate model at the faster sampling rate is then extracted from this estimated system and subsequently used for long-range predictive control. The fast-sampling rate model is used to estimate the outputs at inter-sample instants, using a minimum variance predictor. The estimated output is then used for model-based predictive control at the faster sampling rate. The performance of this controller is compared with the performance of the slow sample-rate scheme, and it is shown that the fast-rate controller has a significantly better performance.
Starting Page	336
Ending Page	340
File Size	474149
Page Count	5
File Format	PDF
ISBN	0780349903
ISSN	07431619
DOI	10.1109/ACC.1999.782796
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-06-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	System identification Predictive control Predictive models Sampling methods Control systems Chemical industry Chemical processes Electrical equipment industry Industrial control Switches
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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