Finite-time synchronization of memristive neural networks with discontinuous activation functions and mixed time-varying delays

Neurocomputing - Tập 340 - Trang 99-109 - 2019
Xiaofan Li1, Wenbing Zhang2, Jian-an Fang3, Huiyuan Li3
1School of Electrical Engineering, Yancheng Institute of Technology, Yancheng 224051, PR China
2Department of Mathematics, Yangzhou University, Jiangsu 225002, PR China
3College of Information Science and Technology, Donghua University, Shanghai 201620, PR China

Tài liệu tham khảo

Zha, 2018, Event-triggered non-fragile state estimation for delayed neural networks with randomly occurring sensor nonlinearity, Neurocomputing, 273, 1, 10.1016/j.neucom.2017.08.011 Zhang, 2015, Stochastic stability of delayed neural networks with local impulsive effects, IEEE Trans. Neural Netw. Learn. Syst., 26, 2336, 10.1109/TNNLS.2014.2380451 Schmidhuber, 2015, Deep learning in neural networks: an overview, Neural Netw., 61, 85, 10.1016/j.neunet.2014.09.003 Kasabov, 2013, Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition, Neural Netw., 41, 188, 10.1016/j.neunet.2012.11.014 Egmont-Petersen, 2002, Image processing with neural networksa review, Pattern Recognit., 35, 2279, 10.1016/S0031-3203(01)00178-9 Pershin, 2010, Experimental demonstration of associative memory with memristive neural networks, Neural Netw., 23, 881, 10.1016/j.neunet.2010.05.001 Chua, 1971, Memristor – the missing circuit element, IEEE Trans. Circuit Theory, 18, 507, 10.1109/TCT.1971.1083337 Strukov, 2008, The missing memristor found, Nature, 453, 80, 10.1038/nature06932 Itoh, 2009, Memristor cellular automata and memristor discrete-time cellular neural networks, Int. J. Bifurc. Chaos, 19, 3605, 10.1142/S0218127409025031 Wang, 2016, Finite-time robust stabilization of uncertain delayed neural networks with discontinuous activations via delayed feedback control, Neural Netw., 76, 46, 10.1016/j.neunet.2016.01.005 Xiao, 2016, Extended dissipative state estimation for memristive neural networks with time-varying delay, ISA Trans., 64, 113, 10.1016/j.isatra.2016.05.007 Chen, 2018, Passivity of coupled memristive delayed neural networks with fixed and adaptive coupling weights, Neurocomputing, 313, 346, 10.1016/j.neucom.2018.06.019 Huang, 2019, Pinning exponential synchronisation and passivity of coupled delayed reaction-diffusion neural networks with and without parametric uncertainties, Int. J. Control, 10.1080/00207179.2017.1384575 Hu, 2015, Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays, Neural Netw., 66, 119, 10.1016/j.neunet.2015.03.001 Liu, 2013, Synchronization of coupled neutral-type neural networks with jumping-mode-dependent discrete and unbounded distributed delays, IEEE Trans. Cybern., 43, 102, 10.1109/TSMCB.2012.2199751 Fei, 2018, Exponential synchronization of networked chaotic delayed neural network by a hybrid event trigger scheme, IEEE Trans. Neural Netw. Learn. Syst., 29, 2558, 10.1109/TNNLS.2017.2700321 Yang, 2017, Exponential synchronization of memristive neural networks with delays: interval matrix method, IEEE Trans. Neural Netw. Learn. Syst., 28, 1878, 10.1109/TNNLS.2016.2561298 Wang, 2019, Analysis and pinning control for output synchronization and H∞ output synchronization of multiweighted complex networks, IEEE Trans. Cybern., 49, 1314, 10.1109/TCYB.2018.2799969 Wang, 2019, Finite-time synchronization and H∞ synchronization of multiweighted complex networks with adaptive state couplings, IEEE Trans. Cybern., 10.1109/TCYB.2019.2944074 Zhang, 2018, Finite-time synchronization of discontinuous neural networks with delays and mismatched parameters, IEEE Trans. Neural Netw. Learn. Syst., 29, 3761, 10.1109/TNNLS.2017.2740431 Nana, 2009, Chaotic synchronization with experimental application to secure communications, Commun. Nonlinear Sci. Numer. Simul., 14, 2266, 10.1016/j.cnsns.2008.06.028 Chua, 2002 Mathiyalagan, 2016, Novel results on robust finite-time passivity for discrete-time delayed neural networks, Neurocomputing, 177, 585, 10.1016/j.neucom.2015.10.125 Li, 2017, Master-slave exponential synchronization of delayed complex-valued memristor-based neural networks via impulsive control, Neural Netw., 93, 165, 10.1016/j.neunet.2017.05.008 Wan, 2016, Robust fixed-time synchronization of delayed Cohen–Grossberg neural networks, Neural Netw., 73, 86, 10.1016/j.neunet.2015.10.009 Liu, 2016, Robust adaptive lag synchronization of uncertain fuzzy memristive neural networks with time-varying delays, Neurocomputing, 190, 188, 10.1016/j.neucom.2016.01.018 Li, 2017, Exponential adaptive synchronization of stochastic memristive chaotic recurrent neural networks with time-varying delays R, Neurocomputing, 267, 396, 10.1016/j.neucom.2017.06.049 Gopalsamy, 1994, Stability in asymmetric Hopfield nets with transmission delays, Phys. D: Nonlinear Phenom., 76, 344, 10.1016/0167-2789(94)90043-4 Liu, 2016, Exponential stability of Markovian jumping Cohen–Grossberg neural networks with mixed mode-dependent time-delays, Neurocomputing, 177, 409, 10.1016/j.neucom.2015.11.046 Velmurugan, 2016, Finite-time synchronization of fractional-order memristor-based neural networks with time delays, Neural Netw., 73, 36, 10.1016/j.neunet.2015.09.012 Cui, 2014, Finite-time synchronization of Markovian jump complex networks with partially unknown transition rates, J. Frankl. Inst., 351, 2543, 10.1016/j.jfranklin.2013.11.006 Li, 2018, Finite-time synchronization of time-delayed neural networks with unknown parameters via adaptive control, Neurocomputing, 308, 65, 10.1016/j.neucom.2018.04.053 Xiao, 2017, Finite-time mittag-leffler synchronization of fractional-order memristive bam neural networks with time delays, Neurocomputing, 219, 431, 10.1016/j.neucom.2016.09.049 Perruquetti, 2008, Finite-time observers: application to secure communication, IEEE Trans. Autom. Control, 53, 356, 10.1109/TAC.2007.914264 Forti, 2003, Global convergence of neural networks with discontinuous neuron activations, IEEE Trans. Circuits Syst. I: Fundam. Theory Appl., 50, 1421, 10.1109/TCSI.2003.818614 Cai, 2018, Finite-time robust synchronization for discontinuous neural networks with mixed-delays and uncertain external perturbations, Neurocomputing, 275, 2624, 10.1016/j.neucom.2017.11.025 Li, 2018, Finite-time synchronization of fractional-order memristive recurrent neural networks with discontinuous activation functions, Neurocomputing, 316, 284, 10.1016/j.neucom.2018.08.003 Moulay, 2008, Finite-time stability and stabilization of time-delay systems, Syst. Control Lett., 57, 561, 10.1016/j.sysconle.2007.12.002 Polyakov, 2012, Nonlinear feedback design for fixed-time stabilization of linear control systems, IEEE Trans. Autom. Control, 57, 2106, 10.1109/TAC.2011.2179869 Forti, 2003, Global convergence of neural networks with discontinuous neuron activations, IEEE Trans. Circuits Syst. I: Fundam. Theory Appl., 50, 1421, 10.1109/TCSI.2003.818614 Hardy, 1952 Abdurahman, 2015, Finite-time synchronization for memristor-based neural networks with time-varying delays, Neural Netw., 69, 20, 10.1016/j.neunet.2015.04.015 Zhang, 2014, Synchronization of nonlinear dynamical networks with heterogeneous impulses, IEEE Trans. Circuits Syst. – I: Regul. Pap., 61, 1220, 10.1109/TCSI.2013.2286027 Tang, 2008, Adaptive lag synchronization in unknown stochastic chaotic neural networks with discrete and distributed time-varying delays, Phys. Lett. Sect. A: General At. Solid State Phys., 372, 4425, 10.1016/j.physleta.2008.04.032 Wu, 2012, Synchronization control of a class of memristor-based recurrent neural networks, Inf. Sci., 183, 106, 10.1016/j.ins.2011.07.044 Gao, 2016, Asymptotic synchronization for stochastic memristor-based neural networks with noise disturbance, J. Frankl. Inst., 353, 3271, 10.1016/j.jfranklin.2016.06.002 Hu, 2014, Finite-time synchronization of delayed neural networks with Cohen–Grossberg type based on delayed feedback control, Neurocomputing, 143, 90, 10.1016/j.neucom.2014.06.016 Huang, 2014, Finite-time lag synchronization of delayed neural networks, Complexity, 139, 145 Wu, 2014, Stability analysis of switched stochastic neural networks with time-varying delays, Neural Netw., 51, 39, 10.1016/j.neunet.2013.12.001 Li, 2017, Exponential stabilization of stochastic memristive neural networks under intermittent adaptive control, IET Control Theory Appl., 11, 2432, 10.1049/iet-cta.2017.0021 Li, 2017, Exponential synchronization of memristive chaotic recurrent neural networks via alternate output feedback control, Asian J. Control, 20, 1 Zou, 2016, Set-membership filtering for time-varying systems with mixed time-delays under round-robin and weighted try-once-discard protocols, Automatica, 74, 341, 10.1016/j.automatica.2016.07.025 Zou, 2017, State estimation for discrete-time dynamical networks with time-varying delays and stochastic disturbances under the round-robin protocol, IEEE Trans. Neural Netw. Learn. Syst., 28, 1139, 10.1109/TNNLS.2016.2524621 Zou, 2017, Finite-horizon H consensus control of time-varying multiagent systems with stochastic communication protocol, IEEE Trans. Cybern., 47, 1830, 10.1109/TCYB.2017.2685425