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Guo-Ping Liu

Researcher at Wuhan University

Publications -  615
Citations -  20111

Guo-Ping Liu is an academic researcher from Wuhan University. The author has contributed to research in topics: Model predictive control & Control system. The author has an hindex of 66, co-authored 545 publications receiving 17692 citations. Previous affiliations of Guo-Ping Liu include Beijing Institute of Technology & University of Nottingham.

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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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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.
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On designing of sliding-mode control for stochastic jump systems

TL;DR: Using Linear matrix inequalities (LMIs) approach, sufficient conditions are proposed to guarantee the stochastic stability of the underlying system and a reaching motion controller is designed such that the resulting closed-loop system can be driven onto the desired sliding surface in a limited time.
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Technical communique: Improved delay-range-dependent stability criteria for linear systems with time-varying delays

TL;DR: A new type of augmented Lyapunov functional is proposed which contains some triple-integral terms and some new stability criteria are derived in terms of linear matrix inequalities without introducing any free-weighting matrices.