H∞ State Estimation for Takagi-Sugeno Fuzzy Delayed Hopfield Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics,General Computer Science
Link
http://www.tandfonline.com/doi/pdf/10.1080/18756891.2011.9727836
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1. Event-triggered state estimation for Markovian jumping impulsive neural networks with interval time-varying delays;International Journal of Control;2017-07-27
2. L2-L∞ Filtering for Takagi–Sugeno fuzzy neural networks based on Wirtinger-type inequalities;Neurocomputing;2015-04
3. Global exponential p-stability of stochastic non-autonomous Takagi–Sugeno fuzzy cellular neural networks with time-varying delays and impulses;Fuzzy Sets and Systems;2014-10
4. Delay-dependent H ∞ and generalized H 2 filtering for stochastic neural networks with time-varying delay and noise disturbance;Neural Computing and Applications;2013-12-22
5. State estimation of neural networks with both time-varying delays and norm-bounded parameter uncertainties via a delay decomposition approach;Communications in Nonlinear Science and Numerical Simulation;2013-12
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