Stability analysis and design of fuzzy control systems
Fuzzy Sets and Systems
Solving optimization problems with variable-constraint by an extended Cohen-Grossberg model
Theoretical Computer Science
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
Stability of Time-Delay Systems
Stability of Time-Delay Systems
Advanced fuzzy cellular neural network: Application to CT liver images
Artificial Intelligence in Medicine
Robust asymptotic stability of uncertain fuzzy BAM neural networks with time-varying delays
Fuzzy Sets and Systems
Robust stability of uncertain fuzzy Cohen-Grossberg BAM neural networks with time-varying delays
Expert Systems with Applications: An International Journal
Robust Stability of Switched Cohen–Grossberg Neural Networks With Mixed Time-Varying Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Impulsive Effects on Stability of Fuzzy Cohen–Grossberg Neural Networks With Time-Varying Delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A note on the robust stability of uncertain stochastic fuzzy systems with time-delays
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Brief Delay-dependent robust H∞ control of uncertain linear state-delayed systems
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
Robust stability of delayed fuzzy Cohen-Grossberg neural networks
Computers & Mathematics with Applications
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In this paper, the Takagi-Sugeno (T-S) fuzzy model representation is extended to the stability analysis for uncertain Cohen-Grossberg neural networks (CGNNs) with time-varying delays. A novel linear matrix inequality (LMI) based stability criterion is obtained by using Lyapunov functional theory to guarantee the exponential stability of uncertain CGNNs with time varying delays which are represented by T-S fuzzy models. Finally, the proposed stability conditions are demonstrated with numerical examples.