Finite-time and fixed-time synchronization for a class of memristor-based competitive neural networks with different time scales

DOI10.1016/j.chaos.2021.111033zbMath1485.93267OpenAlexW3165215412MaRDI QIDQ2137521

Yong Zhao, Shanshan Ren, Juergen Kurths

Publication date: 16 May 2022

Published in: Chaos, Solitons and Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.chaos.2021.111033

zbMATH Keywords

memristorfinite-time synchronizationfixed-time synchronizationmemristor-based competitive neural networks

Mathematics Subject Classification ID

Control/observation systems governed by functional-differential equations (93C23) Discontinuous ordinary differential equations (34A36) Qualitative investigation and simulation of models involving functional-differential equations (34K60) Synchronization of functional-differential equations (34K24)

Related Items (9)

Fixed/predefined-time synchronization of fuzzy neural networks with stochastic perturbations ⋮ Fast fixed-time synchronization control analysis for a class of coupled delayed Cohen-Grossberg neural networks ⋮ Finite-time and fixed-time synchronization analysis of shunting inhibitory memristive neural networks with time-varying delays ⋮ Predefined-time synchronization of coupled neural networks with switching parameters and disturbed by Brownian motion ⋮ Mean-square finite-time synchronization of stochastic competitive neural networks with Infinite time-varying delays and reaction-diffusion terms ⋮ Fixed-time synchronization of discontinuous competitive neural networks with time-varying delays ⋮ Globally asymptotic stability analysis for memristor‐based competitive systems of reaction–diffusion delayed neural networks ⋮ Fin-TS and Fix-TS on fractional quaternion delayed neural networks with uncertainty via establishing a new Caputo derivative inequality approach ⋮ Saturation function-based continuous control on fixed-time synchronization of competitive neural networks

Cites Work

• Finite-time stabilization of nonlinear impulsive dynamical systems
• Finite-time synchronization for fuzzy cellular neural networks with time-varying delays
• Synchronization of neural networks with stochastic perturbation via aperiodically intermittent control
• Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms
• Event-based sliding-mode synchronization of delayed memristive neural networks via continuous/periodic sampling algorithm
• Finite-time synchronization of complex networks with nonidentical discontinuous nodes
• Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems
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