The H∞ control problem
Neural networks for control systems: a survey
Automatica (Journal of IFAC)
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Global exponential stability of delayed Hopfield neural networks
Neural Networks
Stability of Time-Delay Systems
Stability of Time-Delay Systems
A delay-dependent approach to robust H∞ filtering for uncertain distributed delay systems
IEEE Transactions on Signal Processing - Part I
New approach to mixed H2/H∞ filtering for polytopic discrete-time systems
IEEE Transactions on Signal Processing - Part II
A linear matrix inequality approach to robust H∞filtering
IEEE Transactions on Signal Processing
A delay-dependent approach to robust H∞ filtering for uncertain discrete-time state-delayed systems
IEEE Transactions on Signal Processing
Robust H∞ filter design for uncertain linear systems withmultiple time-varying state delays
IEEE Transactions on Signal Processing
Improved global robust asymptotic stability criteria for delayed cellular neural networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stability Analysis of Takagi–Sugeno Fuzzy Cellular Neural Networks With Time-Varying Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief Robust filtering with guaranteed energy-to-peak performance - an LMI approach
Automatica (Journal of IFAC)
State estimation for delayed neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays
IEEE Transactions on Neural Networks
Delay-dependent state estimation for delayed neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Multistability in networks with self-excitation and high-order synaptic connectivity
IEEE Transactions on Circuits and Systems Part I: Regular Papers
Robust H∞ filter design of delayed neural networks
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Passive and exponential filter design for fuzzy neural networks
Information Sciences: an International Journal
Neural Processing Letters
H∞ filtering of markovian jumping neural networks with time delays
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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This paper focuses on studying the H∞ and generalized H2 filtering problems for a class of delayed neural networks. The time-varying delay is only required to be continuous and bounded. Delay-dependent criteria are proposed such that the resulting filtering error system is globally exponentially stable with a guaranteed H∞ or generalized H2 performance. It is also shown that the designs of the desired filters are achieved by solving a set of linear matrix inequalities, which can be facilitated efficiently by resorting to standard numerical algorithms. It should be noted that, based on a novel bounding technique, several slack variables are introduced to reduce the conservatism of the derived conditions. Three examples with simulation results are provided to illustrate the effectiveness and performance of the developed approaches.