Browsing publications by Dr Matthew Armstrong

Newcastle AuthorsTitleYear
Dr Shady Gadoue
Dr Matthew Armstrong
Emeritus Professor John Finch
An improved method for the scalar control of induction motor drives2013
Maher Algreer
Dr Matthew Armstrong
Dr Damian Giaouris
Active On-Line System Identification of Switch Mode DC-DC Power Converter Based on Efficient Recursive DCD-IIR Adaptive Filter2012
Ackim Zulu
Professor Barrie Mecrow
Dr Matthew Armstrong
Permanent-Magnet Flux-Switching Synchronous Motor Employing a Segmental Rotor2012
Maher Algreer
Dr Matthew Armstrong
Dr Damian Giaouris
Adaptive PD+I Control Of A Switch Mode DC-DC Power Converter Using A Recursive FIR Predictor2011
Ackim Zulu
Professor Barrie Mecrow
Dr Matthew Armstrong
Investigation of the dq-equivalent model for performance prediction of flux-switching synchronous motors with segmented-rotors2011
Rachel Taylor
Professor Volker Pickert
Dr Matthew Armstrong
Selection of a Semi-Empirical Model for use as a Real Time Model in a Virtual Fuel Cell2011
Ackim Zulu
Professor Barrie Mecrow
Dr Matthew Armstrong
A Wound-Field Three-Phase Flux-Switching Synchronous Motor with All Excitation Sources on the Stator2010
Maher Algreer
Dr Matthew Armstrong
Dr Damian Giaouris
Adaptive Control of a Switch Mode DC-DC Power Converter Using a Recursive FIR Predictor2010
Maher Algreer
Dr Matthew Armstrong
Dr Damian Giaouris
Adaptive control of a switch mode DC-DC power converter using a Recursive FIR predictor2010
Ackim Zulu
Professor Barrie Mecrow
Dr Matthew Armstrong
Prediction of performance of a wound-field segmented-rotor flux-switching synchronous motor using a dq-equivalent model2010
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