___

• Cohen, M.A. and Grossberg, S., Absolute stability and global pattern formation and parallel memory storage by competitive neural networks, IEEE Transactions on Systems, Man and Cybernetics, vol. 13, (1983), 815-821.
• Li, L. and Jian, J., Exponential convergence and Lagrange stability for impulsive Cohen-Grossberg neural networks with time-varyin delays, Journal of Computational and Applied Mathematics, vol. 277, (2015), 23-35.
• Yu, S,. Zhang, Z. and Quan, Z., New global exponential stability conditions for inertial Cohen-Grossberg neural networks with time delays, Neurocomputing, vol. 151, (2015), 1446-1454.
• Liu, Y., Liu, W., Obaid, M. A. and Abbas, I. A., Exponential stability of Markovian jumping Cohen-Grossberg neural networks with mixed mode-dependent time-delays, Neurocomputing, vol. 177, (2016), 409-415.
• Esteves, S. and Oliveira, J. J., Global asymptotic stability of nonautonomous Cohen-Grossberg neural network models with infinite delays, Applied Mathematics and Computation, vol. 265, (2015), 333-346.
• Ozcan, N., New conditions for global stability of neutral-type delayed Cohen-Grossberg neural networks, Neural Networks, vol. 106, (2018), 1-7.
• Du, Y. and Xu, R., Multistability and multiperiodicity for a class of Cohen-Grossberg BAM neural networks with discontinuous activation functions and time delays, Neural Processing Letters, vol. 42, (2015), 417--435.
• Kao, Y., Wang, C. and Zhang, L., Delay-dependent robust exponential stability of impulsive Markovian jumping reaction-diffusion Cohen-Grossberg neural networks, Neural Processing Letters, vol. 38, (2013), 321--346.
• Li, R., Cao, J., Alsaedi, A. and Ahmad, B., Passivity analysis of delayed reaction-diffusion Cohen-Grossberg neural networks via Hardy-Poincare inequality, Journal of the Franklin Institute, vol. 354, (2017), 3021--3038.
• Li, B. and Song, Q., Some new results on periodic solution of Cohen-Grossberg neural network with impulses, Neurocomputing, vol. 177, (2016), 401--408.
• Nie, X., Zheng, W. X. and Cao, J., Multistability of memristive Cohen-Grossberg neural networks with non-monotonic piecewise linear activation functions and time-varying delays , Neural Networks, vol. 71, (2015), 27--36.
• Wei, T., Wang, L. and Wang, Y., Existence, uniqueness and stability of mild solutions to stochastic reaction-diffusion Cohen-Grossberg neural networks with delays and Wiener processes, Neurocomputing, vol. 239, (2017), 19-27.
• Zheng, C.D., Shan, Q. H., Zhang, H. and Wang, Z., On stabilization of stochastic Cohen-Grossberg neural networks with mode-dependent mixed time-delays and Markovian switching, IEEE Transactions on Neural Networks and Learning Systems, vol. 24, (2013), 800--811.
• Xu, C. and Zhang, Q., On antiperiodic solutions for Cohen-Grossberg shunting inhibitory neural networks with time-varying delays and impulses, Neural Computation, vol. 26, (2014), 2328--2349. Zhu, Q.X. and Cao, J.D., Robust exponential stability of Markovian jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays, IEEE Transactions on Neural Networks and Learning Systems, vol. 21, (2010), 1314--1325.
• Arik, S. and Orman, Z., Global stability analysis of Cohen-Grossberg neural networks with time varying delays, Physics Letters A, vol. 341, (2005), 410--421.
• Takagi, T. and Sugeno, M., Fuzzy identification of systems and its applications to modeling and control, IEEE Transactions on Systems, Man and Cybernetics, vol. 15, (1983), 116--132.
• Hou, Y.Y., Liao, T.L. and Yan, J.J., Stability analysis of Takagi-Sugeno fuzzy cellular neural networks with time-varying delays, IEEE Transactions on Systems, Man and Cybernetics, vol. 37, (2007), 720--726.
• Yamamoto, H. and Furuhashi, T., A new sufficient condition for stable fuzzy control system and its design method, IEEE Transactions on Fuzzy Systems, vol. 9, (2001), 554--569.
• Huang, H., Ho, D.W.C. and Lam, J., Stochastic stability analysis of fuzzy Hopfield neural networks with time-varying delays, IEEE Transactions on Circuits Systems-I, Fundamental Theory and Applications,vol. 52, (2005), 251--255.
• Bao, H., Existence and exponential stability of periodic solution for BAM fuzzy Cohen-Grossberg neural networks with mixed delays, Neural Processing Letters, vol. 43, (2016), 871--885.
• Zheng, C. D., Zhang, X. and Wang, Z., Mode and delay-dependent stochastic stability conditions of fuzzy neural networks with Markovian jump parameters, Neural Processing Letters, vol. 43, (2016), 195--217.
• Yang, W., Periodic solution for fuzzy Cohen-Grossberg BAM neural networks with both time-varying and distributed delays and variable coefficients, Neural Processing Letters, vol. 40, (2014), 51--73.
• Gan, Q., Exponential synchronization of stochastic fuzzy cellular neural networks with reaction-diffusion terms via periodically intermittent control, Neural Processing Letters, vol. 37, (2013), 393--410.
• Chandran, R. and Balasubramaniam, P., Delay dependent exponential stability for fuzzy recurrent neural networks with interval time-varying delay, Neural Processing Letters, vol. 37, (2013), 147--161.
• Tseng, K.H, Tsai, J. S. and Lu, C. Y., Design of delay-dependent exponential estimator for T-S Fuzzy Neural networks with mixed time-varying interval delays using hybrid Taguchi-Genetic algorithm, Neural Processing Letters, vol. 36, (2012), 49--67.
• Ahn, C. K., Takagi-Sugeno fuzzy Hopfield neural networks for H-infinity nonlinear system identification, Neural Processing Letters, vol. 34, (2011), 59--70.
• Gan, Q., Xu, R. and Yang, P., Stability analysis of stochastic fuzzy cellular neural networks with time-varying delays and reaction-diffusion terms, Neural Processing Letters, vol. 32,( 2010), 45--57.
• Yang, W., Yu, W., Cao, J., Alsaadi, F. E. and Hayat, T., Global exponential stability and lag synchronization for delayed memristive fuzzy Cohen-Grossberg BAM neural networks with impulses, Neural Networks, vol. 98, (2018), 122-153.
• Jian, J. and Jiang, W., Lagrange exponential stability for fuzzy Cohen-Grossberg neural networks with time-varying delays, Fuzzy Sets and Systems, vol. 277, (2017), 65--80.
• Muralisankar, S. and Gopalakrishnan, N., Robust stability criteria for Takagi-Sugeno fuzzy Cohen-Grossberg neural networks of neutral type, Neurocomputing, vol. 144, (2014), 516-525.
• Li, C., Li, Y. and Ye, Y., Exponential stability of fuzzy Cohen-Grossberg neural networks with time delays and impulsive effects, Communications in Nonlinear Science and Numerical Simulation, vol. 15, (2010), 3599-3606.
• Zhu, Q. and Li, X., Exponential and almost sure exponential stability of stochastic fuzzy delayed Cohen-Grossberg neural networks, Fuzzy Sets and Systems, vol. 203, (2012), 74-94.
• Mathiyalagan, K., Park, J H., Sakthivel, R. and Anthoni, S. M., Delay fractioning approach to robust exponential stability of fuzzy Cohen-Grossberg neural networks, Applied Mathematics and Computation, vol.230, (2014), 451-463.
• Bao, G., Wen, S. and Zeng, Z., Robust stability analysis of interval fuzzy Cohen-Grossberg neural networks with piecewise constant argument of generalized type , Neural Networks, vol. 33, 2012, 32--41.
• Balasubramaniam, P. and Ali, M. S., Stability analysis of Takagi-Sugeno fuzzy Cohen-Grossberg BAM neural networks with discrete and distributed time-varying delays, Mathematical and Computer Modelling, vol. 53, (2011), 151--160.
• Li, C., Li, Y. and Ye, Yuan, Exponential stability of fuzzy Cohen-Grossberg neural networks with time delays and impulsive effects, Communications in Nonlinear Science and Numerical Simulation, vol. 15, (2010), pp. 3599--3606.
• He, D. and Xu, D., Attracting and invariant sets of fuzzy Cohen-Grossberg neural networks with time-varying delays, Physics Letters A, vol. 372, (2008), 7057--7062.