The implication of model order reduction for control system design-a case study

A modeling technique has been developed for gas distribution networks which includes a model-order-reduction procedure to facilitate simulation and control system design studies. The model is validated against test result data. The effect of the model-reduction procedure is to introduce uncertaintie...

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Bibliographic Details
Published inProceedings of the 27th IEEE Conference on Decision and Control pp. 1137 - 1142 vol.2
Main Authors Wynne, R.J., Parkinson, J.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1988
Subjects
Capacitance
Computer aided software engineering
Control system synthesis
Control systems
Data engineering
Electric resistance
Reduced order systems
Size control
Steady-state
Uncertainty
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DOI10.1109/CDC.1988.194496

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Summary:A modeling technique has been developed for gas distribution networks which includes a model-order-reduction procedure to facilitate simulation and control system design studies. The model is validated against test result data. The effect of the model-reduction procedure is to introduce uncertainties into the model, and the implications of the uncertainties are investigated in relation to control system design. The design results in a high-order controller, and a final reduction procedure is applied at this stage to give a control system that can be implemented on a PC.< >
DOI:10.1109/CDC.1988.194496