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Yigang He

Researcher at Wuhan University

Publications -  275
Citations -  3744

Yigang He is an academic researcher from Wuhan University. The author has contributed to research in topics: Fault (power engineering) & Signal. The author has an hindex of 24, co-authored 261 publications receiving 2172 citations. Previous affiliations of Yigang He include Hefei University of Technology.

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Compressive strength prediction of recycled concrete based on deep learning

TL;DR: The prediction model based on deep learning exhibits the advantages including higher precision, higher efficiency and higher generalization ability compared with the traditional neural network model, and could be considered as a new method for calculating the strength of recycled concrete.
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Distributed Finite-Time Cooperative Control of Multiple High-Order Nonholonomic Mobile Robots

TL;DR: A finite-time cooperative controller is explicitly constructed which guarantees that the states consensus is achieved in a finite time to solve the consensus problem of multiple nonholonomic mobile robots.
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Generalized Completed Local Binary Patterns for Time-Efficient Steel Surface Defect Classification

TL;DR: The experimental results promise that the proposed method can be widely applied in online automatic optical inspection instruments for hot-rolled strip steel, and a hybrid pattern code mapping mechanism is proposed to encode all the uniform patterns and DNUPs.
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New results on stability and stabilization of a class of nonlinear fractional-order systems

TL;DR: In this article, a sufficient condition for the global asymptotic stability and stabilization of a class of fractional-order nonlinear systems with Caputo derivative is proposed. And two numerical examples are provided to show the validity and feasibility of the proposed method.
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Finite-time stability criteria for a class of fractional-order neural networks with delay

TL;DR: By using inequality technique, two new delay-dependent sufficient conditions ensuring stability of such fractional-order neural networks over a finite-time interval are obtained.