Passivity of Fractional-Order Delayed Complex-Valued Neural Networks With Uncertainties

CHEN Yu; ZHOU Bo; SONG Qiankun

doi:10.21656/1000-0887.410309

Volume 42 Issue 5

May 2021

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CHEN Yu, ZHOU Bo, SONG Qiankun. Passivity of Fractional-Order Delayed Complex-Valued Neural Networks With Uncertainties[J]. Applied Mathematics and Mechanics, 2021, 42(5): 492-499. doi: 10.21656/1000-0887.410309

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Passivity of Fractional-Order Delayed Complex-Valued Neural Networks With Uncertainties

doi: 10.21656/1000-0887.410309

College of Mathematics and Statistics, Chongqing Jiaotong University,Chongqing 400074, P.R.China

Funds: The National Natural Science Foundation of China（61773004）

Received Date: 2020-10-15
Rev Recd Date: 2020-10-21
Publish Date: 2021-05-01

Abstract

Abstract

The passivity for a class of fractional-order delayed complex-valued neural networks with uncertainties was studied. The complex-valued neural network was not divided into 2 real-valued neural networks, but treated as a whole. Through construction of the appropriate Lyapunov function and application of the inequality technique, the sufficient criterion in the form of the linear matrix inequality was established to ensure the passivity of the considered neural networks. Numerical examples and simulations verify the feasibility and effectiveness of the obtained conclusion.
- complex-valued neural network,
- fractional-order,
- passivity,
- delay,
- uncertainty

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References(25)

References

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