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Hu, Na; Li, Luyan; Bin, Honghua; Huang, Zhenkun

An impulse-quantizing synchronization approach for mixed continuous-discrete complex networks. (English) Zbl 07915391

Discrete Dyn. Nat. Soc. 2023, Article ID 7273140, 14 p. (2023).

MSC:

93B52 Feedback control
93B70 Networked control
93A14 Decentralized systems
93C40 Adaptive control/observation systems
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References:

[1] Gao, Z.-K.; Fang, P.-C.; Ding, M.-S.; Jin, N.-D., Multivariate weighted complex network analysis for characterizing nonlinear dynamic behavior in two- phase flow, Experimental Thermal and Fluid Science, 60, 157-164, 2015 · doi:10.1016/j.expthermflusci.2014.09.008
[2] Pedro, P.; Eppinger, S. D.; Maier, A. M., Information flow through stages of complex engineering design projects: a dynamic network analysis approach, IEEE Transactions on Engineering Management, 64, 4, 604-617, 2015 · doi:10.1109/TEM.2015.2469680
[3] Lan, Y.-H.; Gu, H.-B.; Chen, C.-X.; Zhou, Y.; Luo, Y.-P., An indirect Lyapunov approach to the observer-based robust control for fractional-order complex dynamic networks, Neurocomputing, 136, 20, 235-242, 2014 · doi:10.1016/j.neucom.2014.01.009
[4] Wong, W. K.; Zhang, W.-B.; Tang, Y.; Wu, X.-T., Stochastic synchronization of complex networks with mixed impulses, IEEE Transactions on Circuits and Systems I: Regular Papers, 60, 10, 2657-2667, 2013 · doi:10.1109/tcsi.2013.2244330
[5] Jiang, S.-Q.; Cai, G.-L.; Cai, S.-M.; Tian, L.-X.; Lu, X.-B., Adaptive cluster general projective synchronization of complex dynamic networks in finite time, Communications in Nonlinear Science and Numerical Simulation, 28, 1-3, 194-200, 2015 · Zbl 1524.93055 · doi:10.1016/j.cnsns.2015.04.009
[6] Cai, S.-M.; Zhou, P.-P.; Liu, Z.-R., Synchronization analysis of hybrid-coupled delayed dynamical networks with impulsive effects: a unified synchronization criterion, Journal of the Franklin Institute, 352, 5, 2065-2089, 2015 · Zbl 1395.93224 · doi:10.1016/j.jfranklin.2015.02.022
[7] Wu, J.-S.; Jiao, L.-C., Synchronization in dynamic networks with nonsym- metrical time-delay coupling based on linear feedback controllers, Physica A: Statistical Mechanics and Its Applications, 387, 8-9, 2111-2119, 2008 · doi:10.1016/j.physa.2007.09.011
[8] Sun, J.-T.; Zhang, Y.-P.; Qiao, F.; Wu, Q.-D., Some impulsive synchronization criterions for coupled chaotic systems via unidirectional linear error feedback approach, Chaos, Solitons & Fractals, 19, 5, 1049-1055, 2004 · Zbl 1069.37029 · doi:10.1016/s0960-0779(03)00264-9
[9] Zhang, Y.-J.; Yan, W.-J.; Yang, Q., Synchronization control of time-varying complex dynamic network with nonidentical nodes and coupling time-delay, Mathematical Problems in Engineering, 2014, 2014 · Zbl 1407.93057 · doi:10.1155/2014/461635
[10] Wang, X.; Fang, J.-A.; Dai, A.; Cui, W.-X.; He, G., Mean square exponential synchronization for a class of Markovian switching complex networks under feedback control and M-matrix approach, Neurocomputing, 144, 20, 357-366, 2014 · doi:10.1016/j.neucom.2014.04.036
[11] Lu, J.-Q.; Kurths, J.; Cao, J. D.; Mahdavi, N.; Huang, C., Synchronization control for nonlinear stochastic dynamical networks: pinning impulsive strategy, IEEE Transactions on Neural Networks and Learning Systems, 23, 2, 285-292, 2012 · doi:10.1109/tnnls.2011.2179312
[12] Wang, X.-F.; Chen, G.-R., Pinning control of scale-free dynamical networks, Physica A: Statistical Mechanics and Its Applications, 310, 3-4, 521-531, 2002 · Zbl 0995.90008 · doi:10.1016/s0378-4371(02)00772-0
[13] Zhang, Q.-J.; Zhao, J.-C., Projective and lag synchronization between general complex networks via impulsive control, Nonlinear Dynamics, 67, 4, 2519-2525, 2012 · Zbl 1243.93011 · doi:10.1007/s11071-011-0164-6
[14] Lu, Y.-S.; Luo, R.-C.; Zou, Y.-F., Morphological analysis for three- dimensional chaotic delay neural networks, Journal of Mathematics, 2020, 4, 2020 · Zbl 1489.34104 · doi:10.1155/2020/4302505
[15] Li, Y.-Q.; Jiang, W.-H., Nonlinear waves in complex oscillator network with delay, Communications in Nonlinear Science and Numerical Simulation, 18, 11, 3226-3237, 2013 · Zbl 1334.37049 · doi:10.1016/j.cnsns.2013.04.010
[16] Gao, P.-T.; Wang, Y.-H.; Zhao, J.-X.; Zhang, L.-L.; Peng, Y., Links syn- chronization control for the complex dynamical network, Neurocomputing, 515, 1, 59-67, 2023 · doi:10.1016/j.neucom.2022.10.024
[17] Gao, P.-T.; Wang, Y.-H.; Liu, L.-Z.; Zhang, L.-L.; Li, S.-P., Double tracking control for the directed complex dynamic network via the state observer of outgoing links, International Journal of Systems Science, 2022, 24, 2022 · Zbl 1520.93189 · doi:10.1080/00207721.2022.2148495
[18] Luo, Y.-P.; Yao, Y.-J., Finite-time synchronization of uncertain complex dynamic networks with time-varying delay, Advances in Difference Equations, 2020, 1, 32-327, 2020 · Zbl 1487.34107 · doi:10.1186/s13662-020-2508-3
[19] Li, F.-B.; Shi, P.; Wu, L.-G.; Basin, M. V.; Lim, C. C., Quantized control design for cognitive radio networks modeled as nonlinear semi-markovian jump systems, IEEE Transactions on Industrial Electronics, 62, 4, 2330-2340, 2015 · doi:10.1109/tie.2014.2351379
[20] Liu, X.-H.; Ma, G.-Q., Sliding mode control for quantized semi-Markovian switching systems with bounded disturbances, IMA Journal of Mathematical Control and Information, 36, 1, 125-144, 2019 · Zbl 1417.93101 · doi:10.1093/imamci/dnx039
[21] Wu, T.; Park, J. H.; Xiong, L.-L.; Xie, X.-Q.; Zhang, H.-Y., A nov- el approach to synchronization conditions for delayed chaotic Lur’e systems with state sampled-data quantized controller, Journal of the Franklin Institute, 357, 14, 9811-9833, 2020 · Zbl 1448.93190 · doi:10.1016/j.jfranklin.2019.11.083
[22] Zhang, L.-X.; Ning, Z.-P.; Zheng, W.-X., Observer-based control for piecewise-affine systems with both input and output quantization, IEEE Transactions on Automatic Control, 62, 11, 5858-5865, 2017 · Zbl 1390.93520 · doi:10.1109/tac.2016.2641585
[23] Tao, J.; Lu, R.-Q.; Su, H.-Y.; Shi, P.; Wu, Z.-G., A synchronous filtering of nonlinear Markov jump systems with randomly occurred quantization via T-S fuzzy models, IEEE Transactions on Fuzzy Systems, 26, 4, 1-1877, 2017 · doi:10.1109/tfuzz.2017.2754999
[24] Gao, H.-J.; Chen, T.-W., A new approach to quantized feedback control systems, Automatica, 44, 2, 534-542, 2008 · Zbl 1283.93131 · doi:10.1016/j.automatica.2007.06.015
[25] Rao, H.-X.; Zhao, L.-W.; Xu, Y.; Huang, Z.-H.; Lu, R., Quasisynchronization for neural networks with partial constrained state information via intermittent control approach, IEEE Transactions on Cybernetics, 52, 9, 8827-8837, 2022 · doi:10.1109/tcyb.2021.3049638
[26] Zhou, T.-W.; Zuo, Z.-Q.; Wang, Y.-J., Self-triggered and event-triggered control for linear systems with quantization, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50, 9, 3136-3144, 2020 · doi:10.1109/tsmc.2018.2833114
[27] Cao, J.; Li, P.; Wang, W.-W., Global synchronization in arrays of delayed neural networks with constant and delayed coupling, Physics Letters A, 353, 4, 318-325, 2006 · doi:10.1016/j.physleta.2005.12.092
[28] Lu, W.-L.; Chen, T.-P., Synchronization analysis of linearly coupled networks of discrete time systems, Physica D: Nonlinear Phenomena, 198, 1-2, 148-168, 2004 · Zbl 1071.39011 · doi:10.1016/j.physd.2004.08.024
[29] Cheng, Q.-X.; Cao, J., Global synchronization of complex networks with discrete time delays on time scales, Discrete Dynamics in Nature and Society, 2011, 2011 · Zbl 1237.34151 · doi:10.1155/2011/287670
[30] Tan, Y.-X.; Huang, Z.-K., Synchronization of drive-response networks with delays on time scales, IEEE/CAA Journal of Automatica Sinica, 2016, 2017 · doi:10.1109/jas.2016.7510043
[31] Liu, X.-Z.; Zhang, K.-X., Synchronization of linear dynamical networks on time scales: pinning control via delayed impulses, Automatica, 72, 147-152, 2016 · Zbl 1344.93071 · doi:10.1016/j.automatica.2016.06.001
[32] Wan, Y.; Cao, J.-D.; Wen, G.-H., Quantized synchronization of chaotic neural networks with scheduled output feedback control, IEEE Transactions on Neural Networks and Learning Systems, 28, 11, 2638-2647, 2017 · doi:10.1109/tnnls.2016.2598730
[33] Xiao, Q.; Zeng, Z.-G., Scale-limited Lagrange stability and finite-time synchronization for Memristive recurrent neural networks on time scales, IEEE Transactions on Cybernetics, 47, 10, 2984-2994, 2017 · doi:10.1109/tcyb.2017.2676978
[34] Li, N. H. L.-Y.; Hong-Hua, B.; Huang, Z.-K., An impulse-quantizing synchronization approach for mixed continuous-discrete complex networks, 2023, https://europepmc.org/article/ppr/ppr689087
[35] Bohner, M.; Peterson, A., Dynamic Equations on Time Scales: An Intero- Duction with Applications, 2001, Boston, MA, USA: Birkh¨auser, Boston, MA, USA · Zbl 0978.39001
[36] Zhou, B.-L.; Yang, Y.-Q.; Xu, X.-Y., The group-delay consensus for second- order multi-agent systems by piecewise adaptive pinning control in part of time interval, Physica A: Statistical Mechanics and Its Applications, 513, 694-708, 2019 · Zbl 1514.93028 · doi:10.1016/j.physa.2018.08.107
[37] Wang, Y.-H.; Wang, W.-L.; Zhang, L.-L., State synchronization of controlled nodes via the dynamics of links for complex dynamical networks, Neurocomputing, 167, 2, 429-447, 2020 · doi:10.1016/j.neucom.2019.12.055
[38] Gao, P.-T.; Wang, Y.-H.; Liu, L.-Z.; Zhang, L.-L.; Tang, X., Asymptotical state synchronization for the controlled directed complex dynamic network via links dynamics, Neurocomputing, 448, 2, 60-66, 2021 · doi:10.1016/j.neucom.2021.03.095
[39] Hong, Y.-X.; Hong-Hua, B.; Huang, Z.-K., Stabilization analysis of impulsive state-dependent neural networks with nonlinear disturbance: a quantization approach, International Journal of Applied Mathematics and Computer Science, 30, 2, 267-279, 2020 · Zbl 1465.93160 · doi:10.34768/amcs-2020-0021
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