Guangming Xue

Prof. Dr. Guangming Xue


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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16 June 2021 in International Journal of Control, Automation, and Systems
Verified
Journal Article
Closed access
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GXGuangming Xue
Guangming Xue
FLFuning Lin
Funing Lin
SLSheng Gang Li
Sheng Gang Li
HLHeng Liu
Heng Liu

26 July 2023 in Nonlinear Dynamics
Verified
Journal Article
Closed access
PDF file
FLFuning Lin
Funing Lin
GXGuangming Xue
Guangming Xue
SLSheng Gang Li
Sheng Gang Li
HLHeng Liu
Heng Liu
YPYongping Pan
Yongping Pan
Jinde CaoJinde Cao
Jinde Cao


7 April 2020 in Advances in Difference Equations
Verified
Journal Article
Open access
PDF file
FLFuning Lin
Funing Lin
GXGuangming Xue
Guangming Xue
GSGuangwang Su
Guangwang Su
BQBin Qin
Bin Qin
In this paper, we investigate hybrid adaptive synchronization issue for a class of perturbed fractional-order chaotic systems with nondeterministic nonlinear terms. On the basis of fractional-order extended version of Lyapunov stability criterion, a novel fuzzy adaptive synchronization control protocol coupled with backstepping-based method is constructed, ensuring that the synchronization errors converge to a sufficiently small region of the origin. In order to avert the occurrence of “explosion of complexity”, we take advantage of a fuzzy logic system to estimate the unknown systematic term approximately in every backstepping step. Finally, some numerical simulations are given to exemplify the effectiveness of the proposed approach.

1 January 2021 in Complexity
Verified
Journal Article
Open access
FZFengyun Zhang
Fengyun Zhang
FLFuning Lin
Funing Lin
GSGuangwang Su
Guangwang Su
GXGuangming Xue
Guangming Xue
We consider a type of fuzzy viscoelastic integro‐differential model in this paper. With the aid of some appropriate hypotheses, a unified method and the multiplier technique are implemented to get priori estimates precisely without constructing any auxiliary function. By establishing the estimation of energy function, we derive the stability result of the global solution, and we calculate the estimations of energy attenuation in exponential and polynomial forms, respectively.

11 June 2020 in Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Verified
Journal Article
Closed access
PDF file
FLFuning Lin
Funing Lin
GYGuangji Yu
Guangji Yu
GXGuangming Xue
Guangming Xue
JHJiang-Feng Han
Jiang-Feng Han
Crisp antimatroid is a combinatorial abstraction of convexity. It also can be incorporated into the greedy algorithm in order to seek the optimal solutions. Nevertheless, this kind of significant classical structure has inherent limitations in addressing fuzzy optimization problems and abstracting fuzzy convexities. This paper introduces the concept of L -fuzzifying antimatroid associated with an L -fuzzifying family of feasible sets. Several relevant fundamental properties are obtained. We also propose the concept of L -fuzzifying rank functions for L -fuzzifying antimatroids, and then investigate their axiomatic characterizations. Finally, we shed light upon the bijective correspondence between an L -fuzzifying antimatroid and its L -fuzzifying rank function.