New results on exponential input-to-state stability analysis of memristor based complex-valued inertial neural networks with proportional and distributed delays

DOI10.1016/j.matcom.2021.01.020OpenAlexW3128929305WikidataQ115569063 ScholiaQ115569063MaRDI QIDQ2146705

M. Iswarya, R. Raja, C. Maharajan, Michał Niezabitowski, Cao, Jinde, Jehad O. Alzabut

Publication date: 21 June 2022

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2021.01.020

zbMATH Keywords

Kirchhoff's matrix tree theoremcomplex-valued neural networksEISSproportional delays and distributed time-varying delays

Mathematics Subject Classification ID

Biology and other natural sciences (92-XX) Ordinary differential equations (34-XX)

Related Items (4)

Delay-dependent passivity analysis of nondeterministic genetic regulatory networks with leakage and distributed delays against impulsive perturbations ⋮ Novel method to detect Hopf bifurcation in a delayed fractional-order network model with bidirectional ring structure ⋮ Robust stability of uncertain stochastic switched inertial neural networks with time‐varying delay using state‐dependent switching law ⋮ Observer-based sliding mode synchronization control of complex-valued neural networks with inertial term and mixed time-varying delays

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