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Yong He

Researcher at China University of Geosciences (Wuhan)

Publications -  185
Citations -  16010

Yong He is an academic researcher from China University of Geosciences (Wuhan). The author has contributed to research in topics: Stability criterion & Linear matrix inequality. The author has an hindex of 58, co-authored 185 publications receiving 13902 citations. Previous affiliations of Yong He include National University of Singapore & Central South University.

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Technical Communique: Delay-dependent criteria for robust stability of time-varying delay systems

TL;DR: Some new delay-dependent stability criteria are devised by taking the relationship between the terms in the Leibniz-Newton formula into account, which are less conservative than existing ones.
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Technical communique: Delay-range-dependent stability for systems with time-varying delay

TL;DR: The present results may improve the existing ones due to a method to estimate the upper bound of the derivative of Lyapunov functional without ignoring some useful terms and the introduction of additional terms into the proposed Lyap unov functional, which take into account the range of delay.
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Further Improvement of Free-Weighting Matrices Technique for Systems With Time-Varying Delay

TL;DR: A novel method is proposed in this note for stability analysis of systems with a time-varying delay by considering the additional useful terms when estimating the upper bound of the derivative of Lyapunov functionals and introducing the new free-weighting matrices.
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Delay-dependent robust stability criteria for uncertain neutral systems with mixed delays

TL;DR: A new method based on linear matrix inequalities is presented that makes it easy to calculate both the upper stability bounds on the delays and the free weighting matrices, and is less conservative than previous methods.
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Parameter-dependent Lyapunov functional for stability of time-delay systems with polytopic-type uncertainties

TL;DR: A new method of dealing with a time-delay system without uncertainties is devised, in which the derivative terms of the state are retained and some free weighting matrices are used to express the relationships among the system variables.