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Exponential synchronization of quaternion-valued memristor-based neural networks with time-varying delays. (English) Zbl 07844267

Summary: In this paper, the global exponential synchronization of quaternion-valued memristor-based neural networks with time-varying delays is discussed. Firstly, by using the differential inclusion theory and the set-valued map theory, the discontinuous quaternion-valued memristive neural networks is transformed into an uncertain system with interval parameters. A novel controller is designed to achieve the control goal. With the \(\omega\)-measure method and Halanay inequality, the criterion for global exponential synchronization of the quaternion-valued memristive neural networks is given. At last, a numerical simulation is given to prove the validity of the main results.
{© 2023 John Wiley & Sons Ltd.}

MSC:

93C43 Delay control/observation systems
93D23 Exponential stability
34A36 Discontinuous ordinary differential equations
34D06 Synchronization of solutions to ordinary differential equations
34K20 Stability theory of functional-differential equations
Full Text: DOI

References:

[1] ChuaLO. Memristor‐the missing circuit element. IEEE Trans Circuit Theory. 1971;ct‐l 8:507‐519.
[2] StrukovDB, SniderGS, StewartDR, WilliamsRS. The missing memristor found. Nature. 2008;453(7191):80‐83.
[3] CaoJ, LiR. Fixed‐time synchronization of delayed memristor‐based recurrent neural networks. Sci China Inform Sci. 2017;60(3):1‐15.
[4] ChengY, ShiY. Synchronization of memristor‐based complex‐valued neural networks with time‐varying delays. Comput Appl Math. 2022;41(8):388. · Zbl 1513.34273
[5] RakkiyappanR, VelmuruganG, CaoJ. Stability analysis of memristor‐based fractional‐order neural networks with different memductance functions. Cogn Neurodyn. 2015;9(2):145‐177.
[6] ShiY, CaoJ. Finite‐time synchronization of memristive Cohen‐Grossberg neural networks with time delays. Neurocomputing. 2020;377:159‐167.
[7] LiuD, ZhuS, YeE. Synchronization stability of memristor‐based complex‐valued neural networks with time delays. Neural Netw. 2017;96:115‐127. · Zbl 1442.34119
[8] HuaL, QiangY, GuJ, ChenL, ZhangX, ZhuH. Mechanical fault diagnosis using color image recognition of vibration spectrogram based on quaternion invariable moment. Math Probl Eng. 2015:1‐11. · Zbl 1395.94039
[9] GoodmanRJ. Digital simulation of aerospace vehicle flight path dynamics using quaternions. Paper presented at: Prague International Astronautical Federation Congress; September 1977.
[10] BhattiUA, YuZ, YuanL, et al. Geometric algebra applications in geospatial artificial intelligence and remote sensing image processing. IEEE Access. 2020;8:155783‐155796.
[11] HasanM, MandalBP. New scattering features of quaternionic point interaction in non‐Hermitian quantum mechanics. J Math Phys. 2020;61(3):032104. · Zbl 1439.81044
[12] LinD, ChenX, YuG, LiZ, XiaY. Global exponential synchronization via nonlinear feedback control for delayed inertial memristor‐based quaternion‐valued neural networks with impulses. Appl Math Comput. 2021;401:126093. · Zbl 1508.93238
[13] LiHL, JiangH, CaoJ. Global synchronization of fractional‐order quaternion‐valued neural networks with leakage and discrete delays. Neurocomputing. 2020;385:211‐219.
[14] WangP, LiX, WangN, LiY, ShiK, LuJ. Almost periodic synchronization of quaternion‐valued fuzzy cellular neural networks with leakage delays. Fuzzy Set Syst. 2022;426:46‐65. · Zbl 1522.93151
[15] WeiR, CaoJ. Fixed‐time synchronization of quaternion‐valued memristive neural networks with time delays. Neural Netw. 2019;113:1‐10. · Zbl 1441.93285
[16] YouX, SongQ, LiangJ, LiuY, AlsaadiFE. Global
[( \mu \]\)‐stability of quaternion‐valued neural networks with mixed time‐varying delays. Neurocomputing. 2018;290:12‐25.
[17] LiuY, ZhangD, LuJ. Global exponential stability for quaternion‐valued recurrent neural networks with time‐varying delays. Nonlinear Dyn. 2017;87(1):553‐565. · Zbl 1371.93098
[18] LiY, QinJ. Existence and global exponential stability of periodic solutions for quaternion‐valued cellular neural networks with time‐varying delays. Neurocomputing. 2018;292:91‐103.
[19] DuanH, PengT, TuZ, QiuJ, LuJ. Globally exponential stability and globally power stability of quaternion‐valued neural networks with discrete and distributed delays. IEEE Access. 2020;8:46837‐46850.
[20] LiuX, LiZ. Global
[( \mu \]\)‐stability of quaternion‐valued neural networks with unbounded and asynchronous time‐varying delays. IEEE Access. 2019;7:9128‐9141.
[21] LiN, CaoJ. Lag synchronization of memristor‐based coupled neural networks via
[( \omega \]\)‐measure. IEEE Trans Neural Netw Learn Syst. 2015;27(3):686‐697.
[22] LiR, GaoX, CaoJ. Quasi‐state estimation and quasi‐synchronization control of quaternion‐valued fractional‐order fuzzy memristive neural networks: vector ordering approach. Appl Math Comput. 2019;362:124572. · Zbl 1433.93068
[23] YangX, CaoJ, YuW. Exponential synchronization of memristive Cohen‐Grossberg neural networks with mixed delays. Cogn Neurodyn. 2014;8(3):239‐249.
[24] XieD, JiangY, HanM. Global exponential synchronization of complex‐valued neural networks with time delays via matrix measure method. Neural Process Lett. 2019;49(1):187‐201.
[25] GongW, LiangJ, CaoJ. Matrix measure method for global exponential stability of complex‐valued recurrent neural networks with time‐varying delays. Neural Netw. 2015;70:81‐89. · Zbl 1398.34097
[26] WangFX, LiuXG, LiJ. Synchronization analysis for fractional non‐autonomous neural networks by a Halanay inequality. Neurocomputing. 2018;314:20‐29.
[27] SaderM, WangF, LiuZ, ChenZ. Exponential synchronization of neural networks with discontinuous activations. Paper presented at: 2020 39th Chinese Control Conference (CCC); IEEE; July 2020:83‐88.
[28] PanC, BaoH. Exponential synchronization of complex‐valued memristor‐based delayed neural networks via quantized intermittent control. Neurocomputing. 2020;404:317‐328.
[29] DengH, BaoH. Fixed‐time synchronization of quaternion‐valued neural networks. Phys A Stat Mech Appl. 2019;527:121351. · Zbl 07568344
[30] WeiR, CaoJ. Global exponential synchronization of quaternion‐valued memristive neural networks with time delays. Nonlinear Anal Model Control. 2020;25(1):36‐56. · Zbl 1451.34098
[31] PengT, QiuJ, LuJ, TuZ, CaoJ. Finite‐time and fixed‐time synchronization of quaternion‐valued neural networks with/without mixed delays: an improved one‐norm method. IEEE Trans Neural Netw Learn Syst. 2022;33(12):7475‐7487.
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