H-infinite State Estimation for Takagi-Sugeno Fuzzy Delayed Hopfield Neural Networks
This paper presents a H-infinite state estimator for Takagi-Sugeno fuzzy delayed Hopfield neural networks. Based on Lyapunov-Krasovskii stability approach, a delay-dependent criterion is proposed to ensure that the resulting estimation error system is asymptotically stable with a guaranteed H perfor...
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| Format: | Article |
| Language: | English |
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Atlantis Press
2011-10-01
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| Series: | International Journal of Computational Intelligence Systems |
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| Online Access: | https://www.atlantis-press.com/article/2379.pdf |