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Xing-Gang Yan
Researcher at University of Kent
Publications - 204
Citations - 4723
Xing-Gang Yan is an academic researcher from University of Kent. The author has contributed to research in topics: Nonlinear system & Sliding mode control. The author has an hindex of 33, co-authored 195 publications receiving 3985 citations. Previous affiliations of Xing-Gang Yan include University of Hong Kong & University of Leicester.
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Brief paper: Nonlinear robust fault reconstruction and estimation using a sliding mode observer
TL;DR: This paper considers fault detection and estimation issues for a class of nonlinear systems with uncertainty, using an equivalent output error injection approach, and a particular design of sliding mode observer is presented for which the parameters can be obtained using LMI techniques.
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Higher‐order sliding‐mode observer for state estimation and input reconstruction in nonlinear systems
TL;DR: In this article, a higher-order sliding-mode observer is proposed to estimate exactly the observable states and asymptotically the unobservable ones in multi-input-multi-output nonlinear systems with unknown inputs and stable internal dynamics.
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Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems
TL;DR: An actuator fault detection and isolation scheme for a class of nonlinear systems with uncertainty is considered and a simulation study of the HIRM aircraft system is presented to show the effectiveness of the scheme.
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Dynamic Sliding Mode Control for a Class of Systems with Mismatched Uncertainty
TL;DR: A robust stabilization problem for a class of uncertain systems is studied using sliding mode techniques and a variable structure controller is proposed to stabilize the system by exploiting the estimated state and system output.
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A Novel Adaptive Neural Network Constrained Control for a Multi-Area Interconnected Power System With Hybrid Energy Storage
TL;DR: The stability and the convergence of the whole system are proved based on the Lyapunov stability theory and simulation experiments are followed through on a four-area interconnected power system to demonstrate the effectiveness of the proposed control scheme.