Synchronization of multiple reaction–diffusion memristive neural networks with known or unknown parameters and switching topologies

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 Kim, 2012, Memristor emulator for memristor circuit applications, IEEE Trans. Circuits Syst. I. Regul. Pap., 59, 2422, 10.1109/TCSI.2012.2188957 Abuelma’atti, 2014, A new memristor emulator and its application in digital modulation, Analog Integr. Circuits Signal Process., 80, 577, 10.1007/s10470-014-0364-3 Lin, 2020, A multi-stable memristor and its application in a neural network, IEEE Trans. Circuits Syst. II: Exp., 67, 3472, 10.1109/TCSII.2020.3000492 Ran, 2021, Compact and stable memristive visual geometry group neural network, IEEE Trans. Neural Netw. Learn. Syst. Cao, 2019, Passivity analysis of delayed reaction–diffusion memristor-based neural networks, Neural Netw., 109, 159, 10.1016/j.neunet.2018.10.004 Shen, 2019, Nonfragile dissipative synchronization for Markovian memristive neural networks: A gain-scheduled control scheme, IEEE Trans. Neural Netw. Learn. Syst., 30, 1841, 10.1109/TNNLS.2018.2874035 Li, 2021, Quasi-stability and quasi-synchronization control of quaternion-valued fractional-order discrete-time memristive neural networks, Appl. Math. Comput., 395 Zhang, 2021, New results on synchronization for second-order fuzzy memristive neural networks with time-varying and infinite distributed delays, Knowl.-Based Syst., 230, 10.1016/j.knosys.2021.107397 Wang, 2021, Multiple mismatched synchronization for coupled memristive neural networks with topology-based probability impulsive mechanism on time scales, IEEE Trans. Cybern., 10.1109/TCYB.2020.2983481 Cao, 2021, Anti-synchronization of delayed memristive neural networks with leakage term and reaction–diffusion terms, Knowl.-Based Syst., 233, 10.1016/j.knosys.2021.107539 Boutayeb, 2002, Generalized state-space observers for chaotic synchronization and secure communication, IEEE Trans. Circuits Syst. I, 49, 345, 10.1109/81.989169 Snoek, 2015, Scalable bayesian optimization using deep neural networks, 2171 Cao, 2022, Synchronization of multiple neural networks with reaction–diffusion terms under cyber–physical attacks, Knowl.-Based Syst., 239, 10.1016/j.knosys.2021.107939 Zhao, 2022, PID control for output synchronization of multiple output coupled complex networks, IEEE Trans. Netw. Sci. Eng., 9, 1553, 10.1109/TNSE.2022.3147786 Lu, 2004, Synchronization of coupled connected neural networks with delays, IEEE Trans. Circuits Syst. I. Regul. Pap., 51, 2491, 10.1109/TCSI.2004.838308 Zhang, 2019, Synchronization of multiple reaction–diffusion neural networks with heterogeneous and unbounded time-varying delays, IEEE Trans. Cybern., 49, 2980, 10.1109/TCYB.2018.2837090 Yang, 2017, Global synchronization of multiple recurrent neural networks with time delays via impulsive interactions, IEEE Trans. Neural Netw. Learn. Syst., 28, 1657, 10.1109/TNNLS.2016.2549703 Cao, 2018, Passivity analysis of coupled neural networks with reaction–diffusion terms and mixed delays, J. Franklin Inst. B, 355, 8915, 10.1016/j.jfranklin.2018.09.030 Chen, 2004, Global synchronization of coupled delayed neural networks and applications to chaotic CNN models, Int. J. Bifurcation Chaos, 14, 2229, 10.1142/S0218127404010655 Olfati-Saber, 2004, Consensus problems in networks of agents with switching topology and time-delays, IEEE Trans. Automat. Control, 49, 1520, 10.1109/TAC.2004.834113 Wen, 2015, Pinning synchronization of directed networks with switching topologies: A multiple Lyapunov functions approach, IEEE Trans. Neural Netw. Learn. Syst., 26, 3239, 10.1109/TNNLS.2015.2443064 Shi, 2020, Reliable asynchronous sampled-data filtering of T–S fuzzy uncertain delayed neural networks with stochastic switched topologies, Fuzzy Sets and Systems, 381, 1, 10.1016/j.fss.2018.11.017 Wang, 2021, Periodic event-triggered synchronization of multiple memristive neural networks with switching topologies and parameter mismatch, IEEE Trans. Cybern., 51, 427, 10.1109/TCYB.2020.2983481 Wang, 2021, Synchronization of resilient complex networks under attacks, IEEE Trans. Syst. Man Cybern. Syst., 51, 1116, 10.1109/TSMC.2019.2895027 Wen, 2014, Consensus tracking of multi-agent systems with Lipschitz-type node dynamics and switching topologies, IEEE Trans. Circuits Syst. I. Regul. Pap., 61, 499, 10.1109/TCSI.2013.2268091 Chen, 2021, Synchronization in multiple neural networks with delay and disconnected switching topology via event-triggered impulsive control strategy, IEEE Trans. Ind. Electron., 68, 2491, 10.1109/TIE.2020.2975498 Wang, 2018, Fully memristive neural networks for pattern classification with unsupervised learning, Nat. Electr., 1, 137, 10.1038/s41928-018-0023-2 Pershin, 2010, Experimental demonstration of associative memory with memristive neural networks, Neural Netw., 23, 881, 10.1016/j.neunet.2010.05.001 Wen, 2021, CKFO: Convolution kernel first operated algorithm with applications in memristor-based convolutional neural network, IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst., 40, 1640, 10.1109/TCAD.2020.3019993 Li, 2016, Stability analysis of reaction-diffusion uncertain memristive neural networks with time-varying delays and leakage term, Appl. Math. Comput., 278, 54 Cao, 2020, Global exponential synchronization of delayed memristive neural networks with reaction–diffusion terms, Neural Netw., 123, 70, 10.1016/j.neunet.2019.11.008 Song, 2021, Gain-scheduled finite-time synchronization for reaction-diffusion memristive neural networks subject to inconsistent Markov chains, IEEE Trans. Neural Netw. Learn. Syst., 32, 2952, 10.1109/TNNLS.2020.3009081 Zhang, 2021, Fuzzy adaptive event-triggered sampled-data control for stabilization of T–S fuzzy memristive neural networks with reaction–diffusion terms, IEEE Trans. Fuzzy Syst., 29, 1775, 10.1109/TFUZZ.2020.2985334 Guo, 2015, Global exponential synchronization of multiple memristive neural networks with time delay via nonlinear coupling, IEEE Trans. Neural Netw. Learn. Syst., 26, 1300, 10.1109/TNNLS.2014.2354432 Wang, 2020, Event-triggered distributed control for synchronization of multiple memristive neural networks under cyber-physical attacks, Inform. Sci., 518, 361, 10.1016/j.ins.2020.01.022 Yao, 2019, Hybrid multisynchronization of coupled multistable memristive neural networks with time delays, Neurocomputing, 363, 281, 10.1016/j.neucom.2019.07.014 Karthick, 2020, Synchronization of coupled memristive neural networks with actuator saturation and switching topology, Neurocomputing, 383, 138, 10.1016/j.neucom.2019.11.034 Yang, 2015, Robust synchronization of multiple memristive neural networks with uncertain parameters via nonlinear coupling, IEEE Trans. Syst. Man Cybern. Syst., 45, 1077, 10.1109/TSMC.2014.2388199 Wen, 2017, Complex cyber-physical networks: From cybersecurity to security control, J. Syst. Sci. Complex., 30, 46, 10.1007/s11424-017-6181-x Yu, 2013, Distributed control gains design for consensus in multi-agent systems with second-order nonlinear dynamics, Automatica, 49, 2107, 10.1016/j.automatica.2013.03.005 Wang, 2020, Distributed control of nonlinear multiagent systems with unknown and nonidentical control directions via event-triggered communication, IEEE Trans. Cybern., 50, 1820, 10.1109/TCYB.2019.2908874 Hu, 2020, Distributed adaptive time-varying group formation tracking for multiagent systems with multiple leaders on directed graphs, IEEE Trans. Control Netw. Syst., 7, 140, 10.1109/TCNS.2019.2913619 Gross, 2018 Wang, 2019, Finite-time passivity and synchronization of coupled reaction–diffusion neural networks with multiple weights, IEEE Trans. Cybern., 49, 3385, 10.1109/TCYB.2018.2842437 Ren, 2005, Consensus seeking in multiagent systems under dynamically changing interaction topologies, IEEE Trans. Automat. Control, 50, 655, 10.1109/TAC.2005.846556 Zhang, 2021, Synchronization of nonidentical neural networks with unknown parameters and diffusion effects via robust adaptive control techniques, IEEE Trans. Cybern., 51, 660, 10.1109/TCYB.2019.2921633 Evans, 1998, Partial differential equations, Grad. Stud. Math., 19, 7 Wen, 2022, Observer-based adaptive synchronization of multiagent systems with unknown parameters under attacks, IEEE Trans. Neural Netw. Learn. Syst., 33, 3109, 10.1109/TNNLS.2021.3051017