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Yun Zou

Researcher at Nanjing University of Science and Technology

Publications -  174
Citations -  3574

Yun Zou is an academic researcher from Nanjing University of Science and Technology. The author has contributed to research in topics: Linear matrix inequality & Exponential stability. The author has an hindex of 30, co-authored 149 publications receiving 3116 citations. Previous affiliations of Yun Zou include Nanjing University.

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Technical communique: New results on delay-dependent robust H∞ control for systems with time-varying delays

TL;DR: A delay-dependent condition for the existence of a state feedback controller, which ensures asymptotic stability and a prescribed H"~ performance level of the closed-loop system for all admissible uncertainties, is proposed in terms of a matrix inequality.
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Technical communique: Improved stability criterion and its applications in delayed controller design for discrete-time systems

TL;DR: The reduced conservatism of the proposed stability result is shown through a numerical example, while the applicability of the time-delayed controller design method is demonstrated by an inverted pendulum system.
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New insight into delay‐dependent stability of time‐delay systems

TL;DR: In this article, an improved delay-dependent asymptotic stability condition is presented in terms of a set of LMIs, where the positive definiteness of a chosen LMIs does not necessarily require all the involved symmetric matrices in the Lyapunov-Krasovskii functional to be positive definite.
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An improved characterization of bounded realness for singular delay systems and its applications

TL;DR: In this paper, a delay-dependent bounded real lemma (BRL) for singular systems with a time delay is proposed, which guarantees a singular system to be regular, impulse free and stable while satisfying a prescribed H∞ performance level for any delays smaller than a given upper bound.
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Brief paper: Robust exponential stabilization for Markovian jump systems with mode-dependent input delay

TL;DR: Sufficient stabilization conditions are developed in terms of matrix inequalities, which can be solved by a proposed iterative algorithm based on the cone complementarity linearization (CCL) method.