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Yongguang Yu
Researcher at Beijing Jiaotong University
Publications - 134
Citations - 3645
Yongguang Yu is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Nonlinear system & Synchronization of chaos. The author has an hindex of 32, co-authored 112 publications receiving 3030 citations. Previous affiliations of Yongguang Yu include Chinese Academy of Sciences & City University of Hong Kong.
Papers
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Mittag-Leffler stability of fractional-order Hopfield neural networks
Shuo Zhang,Yongguang Yu,Hu Wang +2 more
TL;DR: In this paper, the Mittag-Leffler stability analysis of fractional-order Hopfield neural networks has been studied and sufficient conditions for achieving complete and quasi synchronization in the coupling case of these networks with constant or time-dependent external inputs are derived.
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Global stability analysis of fractional-order Hopfield neural networks with time delay
TL;DR: The existence and uniqueness of the equilibrium point for fractional-order Hopfield neural networks with time delay are proved and the global asymptotic stability conditions of fractional/time delay neural networks are obtained by using Lyapunov method.
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Adaptive backstepping synchronization of uncertain chaotic system
Yongguang Yu,Suochun Zhang +1 more
TL;DR: In this article, an adaptive backstepping design is proposed to synchronize two uncertain chaos systems, which can be applied to a variety of chaos systems and can be transformed into the so-called general strict feedback form no matter whether it contains external excitation or not.
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Dynamic analysis of a fractional-order Lorenz chaotic system
TL;DR: In this paper, the existence and uniqueness of solutions for a class of fractional-order Lorenz chaotic systems are investigated theoretically, and the stability of the corresponding equilibria is also argued similarly to the integer-order counterpart.
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LMI Conditions for Global Stability of Fractional-Order Neural Networks
TL;DR: Some simplified linear matrix inequality (LMI) stability conditions for fractional-order linear and nonlinear systems are proposed and a generalized projective synchronization method between such neural systems is given, along with its corresponding LMI condition.