Stability analysis of Hopfield neural networks with unbounded delay driven by G-Brownian motion
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[1] Tianping Chen,et al. Global $\mu$ -Stability of Delayed Neural Networks With Unbounded Time-Varying Delays , 2007, IEEE Transactions on Neural Networks.
[2] Huaguang Zhang,et al. Stability of Recurrent Neural Networks With Time-Varying Delay via Flexible Terminal Method , 2017, IEEE Transactions on Neural Networks and Learning Systems.
[3] Qian He,et al. Mean-square stability of delayed stochastic neural networks with impulsive effects driven by G-Brownian motion , 2018, Statistics & Probability Letters.
[4] Yonghui Xia,et al. Impulsive effect on the delayed Cohen-Grossberg-type BAM neural networks , 2010, Neurocomputing.
[5] Gonzalo Joya,et al. Hopfield neural networks for optimization: study of the different dynamics , 2002 .
[6] Qigui Yang,et al. Exponential stability of θ-method for stochastic differential equations in the G-framework , 2019, J. Comput. Appl. Math..
[7] R. Rakkiyappan,et al. Global asymptotic stability of stochastic recurrent neural networks with multiple discrete delays and unbounded distributed delays , 2008, Appl. Math. Comput..
[8] Jinde Cao,et al. Quasi-sure exponential stability and stabilisation of stochastic delay differential equations under G-expectation framework , 2020, Int. J. Control.
[9] Zhang Chen,et al. Anti-periodic mild attractor of delayed hopfield neural networks systems with reaction-diffusion terms , 2013, Neurocomputing.
[10] Jitao Sun,et al. Stationary oscillation of an impulsive delayed system and its application to chaotic neural networks. , 2008, Chaos.
[11] Frank L. Lewis,et al. Exponential Stabilization of Fuzzy Memristive Neural Networks With Hybrid Unbounded Time-Varying Delays , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[12] Chen Fei,et al. Existence and Stability of Solutions to Highly Nonlinear Stochastic Differential Delay Equations Driven by G-Brownian Motion , 2019, Applied Mathematics-A Journal of Chinese Universities.
[13] Jinde Cao,et al. Stability in Cohen–Grossberg-type bidirectional associative memory neural networks with time-varying delays , 2006 .
[14] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[15] Xuerong Mao,et al. Stability equivalence between the stochastic differential delay equations driven by G-Brownian motion and the Euler-Maruyama method , 2019, Appl. Math. Lett..
[16] Xuerong Mao,et al. Stability of stochastic delay neural networks , 2001, J. Frankl. Inst..
[17] P. Kloeden,et al. Long term behavior of a random Hopfield neural lattice model , 2019, Communications on Pure & Applied Analysis.
[18] Defei Zhang,et al. Exponential stability for stochastic differential equation driven by G-Brownian motion , 2012, Appl. Math. Lett..
[19] Shige Peng,et al. Stopping times and related Itô's calculus with G-Brownian motion , 2009, 0910.3871.
[20] J. Ruan,et al. Global stability analysis of impulsive Cohen–Grossberg neural networks with delay , 2005 .
[21] Wen-Jing Li,et al. Hopfield neural networks for affine invariant matching , 2001, IEEE Trans. Neural Networks.
[22] Chafai Imzegouan,et al. Stability for Markovian switching stochastic neural networks with infinite delay driven by Lévy noise , 2018, International Journal of Dynamics and Control.
[23] Qing Zhou,et al. Stability analysis of impulsive stochastic Cohen–Grossberg neural networks driven by G-Brownian motion , 2018, Int. J. Control.
[24] Quanxin Zhu,et al. Stochastically asymptotic stability of delayed recurrent neural networks with both Markovian jump parameters and nonlinear disturbances , 2010, J. Frankl. Inst..
[25] Shige Peng,et al. Function Spaces and Capacity Related to a Sublinear Expectation: Application to G-Brownian Motion Paths , 2008, 0802.1240.
[26] Yumiao Li,et al. Stability of delayed Hopfield neural networks under a sublinear expectation framework , 2018, J. Frankl. Inst..
[27] Walter Allegretto,et al. Stability for delayed reaction–diffusion neural networks , 2007 .
[28] Tianping Chen,et al. Robust μ -stability for uncertain stochastic neural networks with unbounded time-varying delays , 2008 .
[29] Shige Peng,et al. On representation theorem of G-expectations and paths of G-Brownian motion , 2009, 0904.4519.
[30] Hongjing Liang,et al. Neural-Based Decentralized Adaptive Finite-Time Control for Nonlinear Large-Scale Systems With Time-Varying Output Constraints , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.
[31] Fuke Wu,et al. Robust stability with general decay rate for stochastic neural networks with unbounded time-varying delays , 2012, 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV).
[32] R. Sriraman,et al. Global asymptotic stability of stochastic complex-valued neural networks with probabilistic time-varying delays , 2020, Math. Comput. Simul..
[33] Yong Ren,et al. Exponential stability of solutions to impulsive stochastic differential equations driven by $G$-Brownian motion , 2015 .
[34] Zhenjiang Zhao,et al. Global exponential stability of impulsive complex-valued neural networks with both asynchronous time-varying and continuously distributed delays , 2016, Neural Networks.
[35] José J. Oliveira,et al. Nonuniform behavior and stability of Hopfield neural networks with delay , 2015, 1504.04318.
[36] S. Peng. G -Expectation, G -Brownian Motion and Related Stochastic Calculus of Itô Type , 2006, math/0601035.
[37] Xuerong Mao,et al. Exponential stability and instability of stochastic neural networks 1 , 1996 .
[38] S. Peng. Multi-dimensional G-Brownian motion and related stochastic calculus under G-expectation , 2006, math/0601699.
[39] Zhigang Zeng,et al. Global asymptotic stability and global exponential stability of neural networks with unbounded time-varying delays , 2005, IEEE Trans. Circuits Syst. II Express Briefs.
[40] Xinpeng Li,et al. Lyapunov-type conditions and stochastic differential equations driven by $G$-Brownian motion , 2014, 1412.6169.
[41] Yong Ren,et al. Asymptotical boundedness and stability for stochastic differential equations with delay driven by G-Brownian motion , 2017, Appl. Math. Lett..
[42] Xiaodi Li,et al. Stability analysis of stochastic functional differential equations with infinite delay and its application to recurrent neural networks , 2010, J. Comput. Appl. Math..
[43] Lihong Huang,et al. Periodic attractor for reaction-diffusion high-order Hopfield neural networks with time-varying delays , 2017, Comput. Math. Appl..
[44] Rathinasamy Sakthivel,et al. Stochastic functional differential equations with infinite delay driven by G‐Brownian motion , 2013 .
[45] O. Gaans,et al. Stability results for stochastic delayed recurrent neural networks with discrete and distributed delays , 2018 .
[46] Alain Rapaport,et al. Modeling and analysis of random and stochastic input flows in the chemostat model , 2019, Discrete & Continuous Dynamical Systems - B.
[47] José J. Oliveira. Global exponential stability of nonautonomous neural network models with unbounded delays , 2017, Neural Networks.