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Chuangxia Huang
Researcher at Changsha University of Science and Technology
Publications - 34
Citations - 1479
Chuangxia Huang is an academic researcher from Changsha University of Science and Technology. The author has contributed to research in topics: Exponential stability & Artificial neural network. The author has an hindex of 20, co-authored 34 publications receiving 1089 citations. Previous affiliations of Chuangxia Huang include Chinese Academy of Sciences.
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Interaction between oil and US dollar exchange rate: nonlinear causality, time-varying influence and structural breaks in volatility
TL;DR: In this article, the authors examined the nonlinear Granger causality and time-varying influence between crude oil prices and the US dollar (USD) exchange rate using the Hiemstra and Jones (HP) test, the Diks and Panchenko (DP) test and the time varying parameter structural vector autoregression model.
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Hybrid Control Scheme for Projective Lag Synchronization of Riemann–Liouville Sense Fractional Order Memristive BAM NeuralNetworks with Mixed Delays
TL;DR: A new type of hybrid control scheme, which is the combination of open loop control and adaptive state feedback control is designed to guarantee the global projective lag synchronization of the addressed FOMBNNs model.
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Dynamical behaviors of a food-chain model with stage structure and time delays
TL;DR: In this article, a novel delayed three-species food-chain model with stage structure was established, and the existence of nonnegative equilibria and their stability was investigated. But the authors did not consider the effects of the delay on the dynamics of the system.
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Global exponential convergence in a delayed almost periodic Nicholson's blowflies model with discontinuous harvesting
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Stability Analysis of SIR Model with Distributed Delay on Complex Networks
TL;DR: The obtained results show that SIR models with different types of delays have different converge time in the process of contagion: if R0>1, then the system with distributed time delay stabilizes fastest; while R0≤1, the systemWith distributed time Delay converges most slowly, which indicates the globally asymptotical stability of the disease-free and endemic equilibrium points.