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Finite-time resilient H∞ state estimation for discrete-time delayed neural networks under dynamic event-triggered mechanism

  • Published:2020-01 Issue: Volume:121 Page:356-365
  • ISSN:0893-6080
  • Container-title:Neural Networks
  • language:en
  • Short-container-title:Neural Networks

Author:

Liu Yufei,Shen Bo,Shu Huisheng

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference42 articles.

1. Stochastic H∞ filtering for neural networks with leakage delay and mixed time-varying delays;Ali;Information Sciences,2017

2. Long-term wind speed forecasting and general pattern recognition using neural networks;Azad;IEEE Transactions on Sustainable Energy,2014

3. H∞ state estimation of stochastic memristor-based neural networks with time-varying delays;Bao;Neural Networks,2018

4. A sampled-data approach to robust H∞ state estimation for genetic regulatory networks with random delays;Chen;International Journal of Control Automation and Systems,2018

5. Filtering of discrete-time switched neural networks ensuring exponential dissipative and l2–l∞ performances;Choi;IEEE Transactions on Cybernetics,2017

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