Power System Plant Modelling from PRBS Experiments

Abstract

This work is part of a collaborative exercise between the Department of Control Engineering, University of Sheffield, the Department of Electronic Engineering, University of Leeds and the CEGB Scientific Services Department, N.E Region. Increasing availability of cheap, fast, reliable, localised computing power renders feasible the on-line control of a broad class of systems. Whether as a precursor to decision of control strategy, a tool for simulation studies or a means of fault detection, system identification is being increasingly pursued...........

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Item Type:	Monograph
Authors/Creators:	Cheetham, R.G. Billings, S.A.
Copyright, Publisher and Additional Information:	The Department of Automatic Control and Systems Engineering research reports offer a forum for the research output of the academic staff and research students of the Department at the University of Sheffield. Papers are reviewed for quality and presentation by a departmental editor. However, the contents and opinions expressed remain the responsibility of the authors. Some papers in the series may have been subsequently published elsewhere and you are advised to cite the later published version in these instances.
Dates:	Published: October 1986
Institution:	The University of Sheffield
Academic Units:	The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) > ACSE Research Reports
Depositing User:	MRS ALISON THERESA BARNETT
Date Deposited:	08 Nov 2013 13:02
Last Modified:	28 Oct 2016 19:46
Status:	Published
Publisher:	Dept of Automatic Control and System Engineering. University of Sheffield
Series Name:	Acse Report 302
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:77000

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Power System Plant Modelling from PRBS Experiments

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