Sing Kiong Nguang
Papers
7
Total Citations
271
H-Index
6
About
Sing Kiong Nguang is a prominent control systems researcher whose work has made significant contributions to the fields of fault detection, fault tolerant control, and robust observer design for nonlinear systems. His research focuses primarily on sliding mode control and observer techniques applied to complex multi-input multi-output (MIMO) nonlinear systems operating under uncertainty and disturbance — challenges central to modern control engineering. Nguang's most influential work, "Adaptive Sliding Mode Control for a Class of MIMO Nonlinear Systems with Uncertainties" (2013, 76 citations), established key methodologies for handling system uncertainties robustly. Building on this foundation, he advanced passive fault tolerant control strategies for actuator faults — an area he recognized as underexplored — earning 67 citations for his 2017 contribution. His 2012 paper on incipient sensor fault detection and isolation, accumulating 60 citations, introduced a novel hybrid approach combining sliding mode and Luenberger observers, offering practical solutions for safety-critical systems. More recently, Nguang has expanded his scope to networked control systems, addressing cybersecurity concerns through event-triggered control co-design for Markov jump systems under deception attacks. Across his body of work, Nguang has consistently translated theoretical advances into tractable Linear Matrix Inequality formulations, making his results accessible and implementable for both researchers and practitioners.
Research Focus
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Top Papers
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