H
Hai Zhang
Researcher at Anqing Teachers College
Publications - 43
Citations - 672
Hai Zhang is an academic researcher from Anqing Teachers College. The author has contributed to research in topics: Computer science & Control theory (sociology). The author has an hindex of 12, co-authored 24 publications receiving 379 citations. Previous affiliations of Hai Zhang include University of Science and Technology of China & Chinese Academy of Sciences.
Papers
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Synchronization in uncertain fractional-order memristive complex-valued neural networks with multiple time delays.
TL;DR: This paper considers the global asymptotical synchronization of fractional-order memristive complex-valued neural networks (FOMCVNN), with both parameter uncertainties and multiple time delays.
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LMI-based approach to stability analysis for fractional-order neural networks with discrete and distributed delays
TL;DR: The presented stability criteria are described in terms of the linear matrix inequalities and the advantage of the proposed method is that one may avoid calculating the fractional-order derivative of the Lyapunov functional.
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Global Mittag-Leffler Synchronization for Fractional-Order BAM Neural Networks with Impulses and Multiple Variable Delays via Delayed-Feedback Control Strategy
TL;DR: The sufficient conditions are established to ensure the global Mittag-Leffler synchronization, which are described as the algebraic inequalities associated with the network parameters, and the theoretical results are more general and less conservative.
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Delay-Independent Stability of Riemann–Liouville Fractional Neutral-Type Delayed Neural Networks
TL;DR: By constructing a suitable Lyapunov functional associated with fractional integral and fractional derivative terms, several sufficient conditions to ensure delay-independent asymptotic stability of the equilibrium point are obtained.
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Synchronization stability of Riemann–Liouville fractional delay-coupled complex neural networks
TL;DR: In this paper, the synchronization stability problem of Riemann-Liouville fractional coupled complex interconnected delayed neural networks is discussed, and several globally asymptotic stability criteria for considered network systems are established in terms of Lyapunov functional approach and linear matrix inequality technique.