Abstract
In this paper, considering fuzzy measure theory and matrix-valued fuzzy norm spaces, we study a differential system of non-autonomous cellular neural networks with mixed delays (NA-CNN-MD). Our main goal is to investigate the existence of a unique solution for the presented system of NA-CNN-MD in the matrix-valued fuzzy spaces and using the fuzzy measure. After investigating the existence of a unique solution of NA-CNNs-MD which are \(\varrho \)-pseudo almost periodically, we prove the Mittag–Leffler stability and Mittag-Leffler attractiveness for \(\varrho \)-pseudo almost periodic functions. Finally, two examples are given to illustrate the theoretical results.
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Ait Dads E, Arino O (1996) Exponential dichotomy and existence of pseudo almost-periodic solutions of some differential equations. Nonlinear Anal 27(4):369–386
Bekolle D, Ezzinbi K, Fatajou S, Elvis Houpa Danga D, Mbounja Besseme F (2021) Attractiveness of pseudo almost periodic solutions for delayed cellular neural networks in the context of measure theory. Neurocomputing 435:253–263
Blot J, Cieutat P, Ezzinbi K (2013) New approach for weighted pseudo-almost periodic functions under the light of measure theory, basic results and applications. Appl Anal 92(3):493–526
Boczek M, Kaluszka M (2016) On the Minkowski-Hölder type inequalities for generalized Sugeno integrals with an application. Kybernetika (Prague) 52(3):329–347
Caballero J, Sadarangani K (2010) A Cauchy-Schwarz type inequality for fuzzy integrals. Nonlinear Anal 73(10):3329–3335
Chua LO, Yang Lin (1988a) Cellular neural networks: theory. IEEE Trans Circ Syst 35(10):1257–1272
Chua LO, Yang L (1988b) Cellular neural networks: applications. IEEE Trans Circ Syst 35(10):1273–1290
Diagana T (2006) Weighted pseudo almost periodic functions and applications. C R Math Acad Sci Paris 343(10):643–646
Fink AM (1974) Almost periodic differential equations. In: Lecture Notes in Mathematics, vol. 377. Springer-Verlag, Berlin-New York, p viii+336
Ghanmi B, Miraoui M (2020) Stability of unique pseudo almost periodic solutions with measure. Appl Math 65(4):421–445
Jia J, Huang X, Li Y, Cao J, Alsaedi A (2020) Global stabilization of fractional-order memristor-based neural networks with time delay. IEEE Trans Neural Netw Learn Syst 31(3):997–1009
Kaluszka M, Okolewski A, Boczek M (2014) On Chebyshev type inequalities for generalized Sugeno integrals. Fuzzy Sets Syst 244:51–62
Klement EP, Mesiar R, Pap E (2000) Triangular norms-basic properties and representation theorems. Novák, Vilém (ed.) In: Discovering the world with fuzzy logic, Stud. Fuzziness Soft Comput., 57, Physica, Heidelberg, 63–81
Liang J, Xiao T-J, Zhang J (2010) Decomposition of weighted pseudo-almost periodic functions. Nonlinear Anal 73(10):3456–3461
Li Y, Lü G, Meng X (2019) Weighted pseudo-almost periodic solutions and global exponential synchronization for delayed QVCNNs. In: J. Inequal. Appl. Paper No. 231, 23 pp
Liu B (2015a) Pseudo almost periodic solutions for neutral type CNNs with continuously disturbed leakage delays. Neurocomputing 148:445–454
Liu B (2015b) Exponential convergence of SICNNs with delays and oscillating coefficients in leakage terms. Neurocomputing 168:500–504
Liu B (2016) Global exponential convergence of non-autonomous cellular neural networks with multi-proportional delays. Neurocomputing 191:352–355
Liu B, Tunc C (2015) Pseudo almost periodic solutions for CNNs with leakage delays and complex deviating arguments. Neural Comput Appl 26:429–435
Mainardi F (2010) Fractional calculus and waves in linear viscoelasticity. An introduction to mathematical models. Imperial College Press, London, p xx+347 (pp. ISBN: 978-1-84816-329-4, 1-84816-329-0)
Miraoui M, Yaakoubi N (2019) Measure pseudo almost periodic solutions of shunting inhibitory cellular neural networks with mixed delays. Numer Funct Anal Optim 40(5):571–585
N’Guërëkata Gaston M (2005) Topics in almost automorphy. Springer-Verlag, New York, p xii+168 (ISBN: 0-387-22846-2)
Pap E (1995) Null-additive set functions. In: Mathematics and its applications, 337. Kluwer Academic Publishers Group, Dordrecht, Ister Science, Bratislava, p xii+315 (ISBN: 0-7923-3658-5)
Podlubny I (1999) Fractional differential equations. An introduction to fractional derivatives, fractional differential equations, to methods of their solution and some of their applications. In: Mathematics in science and engineering, 198. Academic Press, Inc., San Diego, pp xxiv+340, (ISBN: 0-12-558840-2)
Ralescu D, Adams G (1980) The fuzzy integral. J Math Anal Appl 75(2):562–570
Roman-Flores H, Chalco-Cano Y (2007) Sugeno integral and geometric inequalities. Internat J Uncertain Fuzziness Knowl-Based Syst 15(1):1–11
Royden HL (1988) Real analysis, 3rd edn. Macmillan Publishing Company, New York, p xx+444 (ISBN: 0-02-404151-3)
Rudin W (1986) Analiza rzeczywista i zespolona. (Polish) [[Real and complex analysis]] Translated from the English by Antoni Pierzchalski and Paweł Walczak. Państwowe Wydawnictwo Naukowe (PWN), Warsaw, p 432 (ISBN: 83-01-05124-8)
Wang ZY, Klir GJ (1992) Fuzzy measure theory. Plenum Press, New York, p x+354 (ISBN: 0-306-44260-4)
Xu J (2018) Weighted pseudo almost periodic delayed cellular neural networks. Neural Comput Appl 30:2453–2458
Yan Z, Huang X, Fan Y, Xia J, Shen H (2020) Threshold-function-dependent quasisynchronization of delayed memristive neural networks via hybrid eventtriggered control. IEEE Trans Syst Man Cybernet Syst. https://doi.org/10.1109/TSMC.2020.2964605
Yao L, Wang Z, Huang X, Li Y, Shen H, Chen G (2020) A periodic sampled-data control for exponential stabilization of delayed neural networks: a refined two-sided lopped-functional approach, IEEE Trans. Circ Syst-II EXPRESS BRIEFS. https://doi.org/10.1109/TCSII.2020.2983803
Yu Y (2017) Exponential stability of pseudo almost periodic solutions for cellular neural networks with multi-proportional delays. Neural Process Lett 45:141–151
Yu CH (2022) A study of some fractional functions. Int J Math Trends Technol (IJMTT) 66
Zhang CY (1994a) Integration of vector-valued pseudo-almost periodic functions. Proc Am Math Soc 121(1):167–174
Zhang CY (1994b) Pseudo-almost-periodic solutions of some differential equations. J Math Anal Appl 181(1):62–76
Zhang H (2014) Existence and stability of almost periodic solutions for CNNs with continuously distributed leakage delays. Neural Comput Appl 24:1135–1146
Zhang A (2017) Pseudo almost periodic solutions for SICNNs with oscillating leakage coefficients and complex deviating arguments. Neural Process Lett 45:183–196
Zhou Q, Shao J (2018) Weighted pseudo-anti-periodic SICNNs with mixed delays. Neural Comput Appl 29:865–872
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Eidinejad, Z., Saadati, R. & Allahviranloo, T. Attractiveness of pseudo almost periodic solutions for delayed cellular neural networks in the context of fuzzy measure theory in matrix-valued fuzzy spaces. Comp. Appl. Math. 41, 369 (2022). https://doi.org/10.1007/s40314-022-02074-z
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DOI: https://doi.org/10.1007/s40314-022-02074-z
Keywords
- Cellular neural networks
- Fuzzy measure
- Sugeno fuzzy integral
- \(\varrho \)-Pseudo almost periodic function
- Mittag–Leffler stability
- Mixed delays
- MVFN-spaces