Z
Zhenbin Fan
Researcher at Changshu Institute of Technology
Publications - 7
Citations - 137
Zhenbin Fan is an academic researcher from Changshu Institute of Technology. The author has contributed to research in topics: Nonlinear system & Semigroup. The author has an hindex of 1, co-authored 1 publications receiving 121 citations.
Papers
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Existence results for semilinear differential equations with nonlocal and impulsive conditions
Zhenbin Fan,Gang Li +1 more
TL;DR: In this article, the existence of semilinear differential equations with nonlocal conditions was studied using the techniques of approximate solutions and fixed point, where the nonlocal item is Lipschitz in the space of piecewise continuous functions.
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Exact solutions and Hyers-Ulam stability of fractional equations with double delays
TL;DR: In this paper , the exact solutions of linear homogeneous and nonhomogeneous fractional differential equations with double delays were discussed, and the solution was used to investigate the Hyers-Ulam stability of the system.
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Existence of Mild Solutions for Nonlocal Evolution Equations with the Hilfer Derivatives
Zhenbin Fan,Gang Li +1 more
TL;DR: In this paper , the existence of mild solutions for Hilfer fractional evolution equations with nonlocal conditions in a Banach space is investigated, and the results obtained here improve some known results.
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Necessary and sufficient conditions for the approximate controllability of fractional linear systems via C−semigroups
TL;DR: In this paper , the controllability of fractional linear evolution systems is considered and a new set of necessary and sufficient conditions are established to examine that linear system is approximately controllable with the help of symmetric operator.
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The Regional Enlarged Observability for Hilfer Fractional Differential Equations
Zhenbin Fan,Gang Li +1 more
TL;DR: In this article , the authors investigated the concept of regional enlarged observability (ReEnOb) for fractional differential equations (FDEs) with the Hilfer derivative and developed an approach based on the Hilbert uniqueness method (HUM).