Stochastic stability analysis for neutral-type Markov jump neural networks with additive time-varying delays via a new reciprocally convex combination inequality-Reference-Cited by-同舟云学术

Stochastic stability analysis for neutral-type Markov jump neural networks with additive time-varying delays via a new reciprocally convex combination inequality

Published:2019-03-17 Issue:5 Volume:50 Page:970-988
ISSN:0020-7721
Container-title:International Journal of Systems Science
language:en
Short-container-title:International Journal of Systems Science

Author:

Zhang Haiyang¹²,Qiu Zhipeng¹,Xiong Lianglin³⁴,Jiang Guanghao⁵

Affiliation:

1. School of Science, Nanjing University of Science and Technology, Nanjing, People's Republic of China

2. Department of Applied Mathematics, University of Waterloo, Waterloo, Canada

3. School of Automation and Electrical Engineering, Linyi University, Linyi, People's Republic of China

4. School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, People's Republic of China

5. Department of Mathematics, Huaibei Normal University, Huaibei, People's Republic of China

Funder

National Nature Science Foundation

Key Laboratory of Numerical Simulation of Sichuan Province

Graduate Research Innovation Program of Jiangsu Province

China Scholarship Council

NSERC Canada

Zhipeng Qiu

Lianglin Xiong

Publisher

Informa UK Limited

Subject

Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207721.2019.1586005

Reference49 articles.

1. Linear Matrix Inequalities in System and Control Theory

2. Delay-dependent stability for neutral-type neural networks with time-varying delays and Markovian jumping parameters

3. Static output feedback control of nonhomogeneous Markovian jump systems with asynchronous time delays

4. Improved integral inequality approach on stabilization for continuous-time systems with time-varying input delay

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