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Improved conservative criteria for variable delays neural networks systems | IEEE Conference Publication | IEEE Xplore

Improved conservative criteria for variable delays neural networks systems

Publisher: IEEE

Abstract:

In this paper, we consider the issue of stability criteria for neural networks systems with variable delays. By introducing two triple integral terms and a new augmented ...View more

Abstract:

In this paper, we consider the issue of stability criteria for neural networks systems with variable delays. By introducing two triple integral terms and a new augmented term with more delay information to the Lyapunov-Krasovskii functional(LKF), some less conservative stability criteria are proposed. Finally, the effectiveness of the proposed results are demonstrated by two numerical examples.
Date of Conference: 14-16 October 2015
Date Added to IEEE Xplore: 11 February 2016
ISBN Information:
Publisher: IEEE
Conference Location: Shenyang, China

References

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