Sampled-data state estimation for neural networks of neutral type
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Algebra and Number Theory,Analysis
Link
http://link.springer.com/content/pdf/10.1186/1687-1847-2014-138.pdf
Reference23 articles.
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4. Liu X, Teo K, Xu B: Exponential stability of impulsive high-order Hopfield-type neural networks with time-varying delays. IEEE Trans. Neural Netw. 2005, 16: 1329–1339. 10.1109/TNN.2005.857949
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1. Delay-partitioning approach to stability analysis of state estimation for neutral-type neural networks with both time-varying delays and leakage term via sampled-data control;International Journal of Systems Science;2017-02-02
2. Sampled-data state estimation for genetic regulatory networks with time-varying delays;Neurocomputing;2015-03
3. A New Sampled-Data State Estimator for Neural Networks of Neutral-Type with Time-Varying Delays;Advances in Neural Networks – ISNN 2015;2015
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