Global adaptive matrix-projective synchronization of delayed fractional-order competitive neural network with different time scales
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[1] G. Grassi,et al. Synchronization results for a class of fractional-order spatiotemporal partial differential systems based on fractional Lyapunov approach , 2019, Boundary Value Problems.
[2] Hu Wang,et al. Projective synchronization for fractional-order memristor-based neural networks with time delays , 2019, Neural Computing and Applications.
[3] Shenghua Yu,et al. Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills , 2019, Neurocomputing.
[4] Yongguang Yu,et al. Robust synchronization of memristor-based fractional-order Hopfield neural networks with parameter uncertainties , 2019, Neural Computing and Applications.
[5] Jinde Cao,et al. Novel Finite-Time Synchronization Criteria for Inertial Neural Networks With Time Delays via Integral Inequality Method , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[6] Fangqi Chen,et al. Quasi-Matrix and Quasi-Inverse-Matrix Projective Synchronization for Delayed and Disturbed Fractional Order Neural Network , 2019, Complex..
[7] Jinde Cao,et al. Stability and synchronization criteria for fractional order competitive neural networks with time delays: An asymptotic expansion of Mittag Leffler function , 2019, J. Frankl. Inst..
[8] Jinde Cao,et al. Multistability and instability of competitive neural networks with non-monotonic piecewise linear activation functions , 2019, Nonlinear Analysis: Real World Applications.
[9] Tingwen Huang,et al. Global Exponential Synchronization of Memristive Competitive Neural Networks with Time-Varying Delay via Nonlinear Control , 2019, Neural Processing Letters.
[10] R. Raja,et al. Impulsive effects on competitive neural networks with mixed delays: Existence and exponential stability analysis , 2019, Math. Comput. Simul..
[11] Jinde Cao,et al. Multiple Mittag-Leffler stability of fractional-order competitive neural networks with Gaussian activation functions , 2018, Neural Networks.
[12] Xiaohui Xu,et al. New complex projective synchronization strategies for drive-response networks with fractional complex-variable dynamics , 2018, Appl. Math. Comput..
[13] Jinde Cao,et al. Projective synchronization of fractional-order delayed neural networks based on the comparison principle , 2018 .
[14] Jinde Cao,et al. Further synchronization in finite time analysis for time-varying delayed fractional order memristive competitive neural networks with leakage delay , 2018, Neurocomputing.
[15] Zhengqiu Zhang,et al. Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method , 2018, Neurocomputing.
[16] Ling Ren,et al. New sufficient conditions on global asymptotic synchronization of inertial delayed neural networks by using integrating inequality techniques , 2018, Nonlinear Dynamics.
[17] Fangqi Chen,et al. Dynamical analysis of a new fractional-order Rabinovich system and its fractional matrix projective synchronization , 2018, Chinese Journal of Physics.
[18] Lian Duan,et al. Finite-time synchronization of delayed competitive neural networks with discontinuous neuron activations , 2018, Int. J. Mach. Learn. Cybern..
[19] D. Baleanu,et al. Conservation laws, soliton-like and stability analysis for the time fractional dispersive long-wave equation , 2018, Advances in Difference Equations.
[20] Manchun Tan,et al. Multistability of delayed complex-valued competitive neural networks with discontinuous non-monotonic piecewise nonlinear activation functions , 2018, Commun. Nonlinear Sci. Numer. Simul..
[21] Tengfei Lei,et al. Fractional matrix and inverse matrix projective synchronization methods for synchronizing the disturbed fractional‐order hyperchaotic system , 2018, Mathematical Methods in the Applied Sciences.
[22] Dumitru Baleanu,et al. Novel Mittag-Leffler stability of linear fractional delay difference equations with impulse , 2018, Appl. Math. Lett..
[23] Jinde Cao,et al. Linear control for synchronization of a fractional-order time-delayed chaotic financial system , 2018, Chaos, Solitons & Fractals.
[24] Dumitru Baleanu,et al. A new fractional analysis on the interaction of HIV withCD4+T-cells , 2018, Chaos, Solitons & Fractals.
[25] Haijun Jiang,et al. Quasi-projective synchronization of fractional-order complex-valued recurrent neural networks , 2018, Neural Networks.
[26] Jinde Cao,et al. Periodic solutions for complex-valued neural networks of neutral type by combining graph theory with coincidence degree theory , 2018, Advances in Difference Equations.
[27] Dumitru Baleanu,et al. A new approach for the nonlinear fractional optimal control problems with external persistent disturbances , 2018, J. Frankl. Inst..
[28] Muthukumar Palanisamy,et al. Finite-time stability analysis for fractional-order Cohen–Grossberg BAM neural networks with time delays , 2016, Neural Computing and Applications.
[29] Jinde Cao,et al. Synchronization Control of Riemann-Liouville Fractional Competitive Network Systems with Time-varying Delay and Different Time Scales , 2018 .
[30] D. Baleanu,et al. Lie symmetry analysis and explicit solutions for the time fractional generalized Burgers–Huxley equation , 2018, Optical and Quantum Electronics.
[31] D. Baleanu,et al. Time Fractional Third-Order Evolution Equation: Symmetry Analysis, Explicit Solutions, and Conservation Laws , 2018 .
[32] Chunyu Yang,et al. Global asymptotic stability analysis of two-time-scale competitive neural networks with time-varying delays , 2018, Neurocomputing.
[33] Yanjun Shen,et al. Cluster synchronization of coupled delayed competitive neural networks with two time scales , 2017 .
[34] Fangqi Chen,et al. A new fractional order hyperchaotic Rabinovich system and its dynamical behaviors , 2017 .
[35] Zhenjiang Zhao,et al. Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with both leakage and time-varying delays , 2017, Neurocomputing.
[36] Jia Jia,et al. Quasi-synchronisation of fractional-order memristor-based neural networks with parameter mismatches , 2017 .
[37] Yu Wang,et al. Global projective synchronization in finite time of nonidentical fractional-order neural networks based on sliding mode control strategy , 2017, Neurocomputing.
[38] J. Machado,et al. A new fractional operator of variable order: Application in the description of anomalous diffusion , 2016, 1611.09200.
[39] R. Wu,et al. Finite-time stability criteria for a class of fractional-order neural networks with delay , 2016, Neural Computing and Applications.
[40] Manuel A. Duarte-Mermoud,et al. On fractional extensions of Barbalat Lemma , 2015, Syst. Control. Lett..
[41] Fei Wang,et al. Global asymptotic stability of impulsive fractional-order BAM neural networks with time delay , 2015, Neural Computing and Applications.
[42] Jinde Cao,et al. Adaptive synchronization of fractional-order memristor-based neural networks with time delay , 2015, Nonlinear Dynamics.
[43] P. Balasubramaniam,et al. Fast projective synchronization of fractional order chaotic and reverse chaotic systems with its application to an affine cipher using date of birth (DOB) , 2015 .
[44] Manuel A. Duarte-Mermoud,et al. Lyapunov functions for fractional order systems , 2014, Commun. Nonlinear Sci. Numer. Simul..
[45] Haijun Jiang,et al. Α-stability and Α-synchronization for Fractional-order Neural Networks , 2012, Neural Networks.
[46] Qintao Gan,et al. Adaptive synchronization for stochastic competitive neural networks with mixed time-varying delays , 2012 .
[47] Hongtao Lu,et al. Modified generalized projective synchronization of a new fractional-order hyperchaotic system and its application to secure communication , 2012 .
[48] Naser Pariz,et al. A chaotic secure communication scheme using fractional chaotic systems based on an extended fractional Kalman filter , 2009 .
[49] H. Srivastava,et al. Theory and Applications of Fractional Differential Equations , 2006 .
[50] C. Chee,et al. Secure digital communication using controlled projective synchronisation of chaos , 2005 .
[51] Anke Meyer-Bäse,et al. Global exponential stability of competitive neural networks with different time scales , 2003, IEEE Trans. Neural Networks.
[52] Anke Meyer-Bäse,et al. Singular Perturbation Analysis of Competitive Neural Networks with Different Time Scales , 1996, Neural Computation.
[53] Stephen P. Boyd,et al. Linear Matrix Inequalities in System and Control Theory , 1994, Studies in Applied Mathematics.
[54] Anke Meyer-Bäse,et al. Local uniform stability of competitive neural networks with different time-scales under vanishing perturbations , 2010, Neurocomputing.
[55] E. Yaz. Linear Matrix Inequalities In System And Control Theory , 1998, Proceedings of the IEEE.