Generalized Dissipativity State Estimation of Delayed Static Neural Networks Based on a Proportional-Integral Estimator With Exponential Gain Term

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2020.2998300 ◽

2021 ◽

Vol 68 (1) ◽

pp. 356-360 ◽

Author(s):

Guoqiang Tan ◽

Zhanshan Wang

Keyword(s):

Neural Networks ◽

State Estimation ◽

Proportional Integral ◽

Static Neural Networks ◽

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H∞ performance state estimation of delayed static neural networks based on an improved proportional-integral estimator

Applied Mathematics and Computation ◽

10.1016/j.amc.2019.124908 ◽

2020 ◽

Vol 370 ◽

pp. 124908 ◽

Author(s):

Guoqiang Tan ◽

Zhanshan Wang ◽

Cong Li

Keyword(s):

Neural Networks ◽

State Estimation ◽

Proportional Integral ◽

Static Neural Networks

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Further results on H∞ state estimation of static neural networks with time-varying delay

Neurocomputing ◽

10.1016/j.neucom.2018.01.032 ◽

2018 ◽

Vol 285 ◽

pp. 133-140 ◽

Author(s):

Bo Liu ◽

Xiuli Ma ◽

Xin-Chun Jia

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Time Varying Delay ◽

Static Neural Networks ◽

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H∞ / passive state estimation of Markovian jump static neural networks with mixed time- varying delays

Journal of Xidian University ◽

10.37896/jxu14.4/292 ◽

2020 ◽

Vol 14 (4) ◽

Keyword(s):

Neural Networks ◽

State Estimation ◽

Passive State ◽

Time Varying ◽

Markovian Jump ◽

Static Neural Networks

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Further Result on H ∞ Performance State Estimation of Delayed Static Neural Networks Based on an Improved Reciprocally Convex Inequality

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2019.2941546 ◽

2020 ◽

Vol 67 (8) ◽

pp. 1477-1481 ◽

Author(s):

Guoqiang Tan ◽

Zhanshan Wang

Keyword(s):

Neural Networks ◽

State Estimation ◽

Static Neural Networks ◽

Convex Inequality

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New result on reliable H∞ performance state estimation for memory static neural networks with stochastic sampled-data communication

Applied Mathematics and Computation ◽

10.1016/j.amc.2019.124619 ◽

2020 ◽

Vol 364 ◽

pp. 124619 ◽

Author(s):

Shiyu Dong ◽

Hong Zhu ◽

Shouming Zhong ◽

Kaibo Shi ◽

Jun Cheng ◽

...

Keyword(s):

Neural Networks ◽

State Estimation ◽

Data Communication ◽

Sampled Data ◽

Static Neural Networks

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Nonfragile H∞ State Estimation for Recurrent Neural Networks With Time-Varying Delays: On Proportional-Integral Observer Design

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2020.3015376 ◽

2020 ◽

pp. 1-13

Author(s):

Di Zhao ◽

Zidong Wang ◽

Guoliang Wei ◽

Xiaohui Liu

Keyword(s):

Neural Networks ◽

State Estimation ◽

Recurrent Neural Networks ◽

Observer Design ◽

Time Varying ◽

Proportional Integral

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Guaranteed performance state estimation of static neural networks with time-varying delay

Neurocomputing ◽

10.1016/j.neucom.2010.09.017 ◽

2011 ◽

Vol 74 (4) ◽

pp. 606-616 ◽

Author(s):

He Huang ◽

Gang Feng ◽

Jinde Cao

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Time Varying Delay ◽

Static Neural Networks ◽

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Sampled-Data Control for State Estimation of Static Neural Networks

2014 International Conference on Computational Science and Computational Intelligence ◽

10.1109/csci.2014.144 ◽

2014 ◽

Author(s):

H. Y. Jung ◽

J. H. Park ◽

S. M. Lee

Keyword(s):

Neural Networks ◽

State Estimation ◽

Sampled Data ◽

Static Neural Networks ◽

Data Control ◽

Sampled Data Control

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An improved result on H∞ state estimation for static neural networks with time-varying delay

2017 36th Chinese Control Conference (CCC) ◽

10.23919/chicc.2017.8027975 ◽

2017 ◽

Author(s):

Jin Li ◽

He Yong ◽

Zhang Chuan-Ke ◽

Wu Min

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Time Varying Delay ◽

Static Neural Networks ◽

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H∞ Performance State Estimation for Static Neural Networks With Time-Varying Delays via Two Improved Inequalities

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2020.2995604 ◽

2021 ◽

Vol 68 (1) ◽

pp. 321-325 ◽

Author(s):

Yufeng Tian ◽

Zhanshan Wang

Keyword(s):

Neural Networks ◽

State Estimation ◽

Time Varying ◽

Static Neural Networks

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