Mark Ng

Dr. Mark Ng

School of Engineering, Ulster University, Newtownabbey BT37 0QB, UK
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Research Focus & Metrics

Academic Career Length

21Years (2006-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 January 2018 in Journal of Chemical Technology & Biotechnology
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Journal Article
Closed access
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LLLeong Hwee Lee
Leong Hwee Lee
TWTa Yeong Wu
Ta Yeong Wu
KSKatrina Pui Yee Shak
Katrina Pui Yee Shak
SLSu Lin Lim
Su Lin Lim
Mark NgMark Ng
Mark Ng
WTWen Hui Teoh
Wen Hui Teoh

1 March 2017 in Energy and Buildings
Verified
Journal Article
Closed access
STSamuel Tang
Samuel Tang
VKVineetha Kalavally
Vineetha Kalavally
Mark NgMark Ng
Mark Ng
JPJussi Parkkinen
Jussi Parkkinen


1 November 2018 in Control Engineering Practice
Verified
Journal Article
Closed access
DJDaniel Jung
Daniel Jung
Mark NgMark Ng
Mark Ng
EFErik Frisk
Erik Frisk
MKMattias Krysander
Mattias Krysander

27 July 2023 in Expert Systems with Applications
Verified
Journal Article
Open access
NMNiamh McCallan
Niamh McCallan
SDScot Davidson
Scot Davidson
Mark NgMark Ng
Mark Ng
PBPardis Biglarbeigi
Pardis Biglarbeigi
DFDewar Finlay
Dewar Finlay
JMJames McLaughlin
James McLaughlin

8 February 2017 in IEEE Transactions on Automatic Control
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Journal Article
Closed access
JOJeremy Hor Teong Ooi
Jeremy Hor Teong Ooi
CTChee Pin Tan
Chee Pin Tan
SNSurya Girinatha Nurzaman
Surya Girinatha Nurzaman
Mark NgMark Ng
Mark Ng
In existing work of sliding mode observers (SMOs) for descriptor systems, a necessary condition is that the system must be infinitely observable. This paper presents a scheme that circumvents that condition, by reformulating the system as a reduced-order system where certain structures in the system matrix are manipulated and certain states are treated as unknown inputs. Following that, an SMO is implemented on the reduced-order system where state and fault estimation can be achieved. Necessary and sufficient conditions of this scheme are also presented. Finally, a simulation example shows the effectiveness of the proposed scheme.