New methods of finite-time synchronization for a class of fractional-order delayed neural networks

DOI10.1155/2017/1804383zbMath1426.34069OpenAlexW2622033679WikidataQ59147312 ScholiaQ59147312MaRDI QIDQ1992411

Ahmed Alsaedi, Wei-Wei Zhang, Fuad Eid S. Alsaadi, Cao, Jinde

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/1804383

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Control/observation systems governed by ordinary differential equations (93C15) Fractional ordinary differential equations (34A08) Functional-differential equations with fractional derivatives (34K37) Synchronization of solutions to ordinary differential equations (34D06)

Related Items (7)

Adaptive synchronization for fractional stochastic neural network with delay ⋮ New criterion for finite-time synchronization of fractional order memristor-based neural networks with time delay ⋮ Master-slave synchronization of a new fractal-fractional order quaternion-valued neural networks with time-varying delays ⋮ Projective synchronization of fractional-order delayed neural networks based on the comparison principle ⋮ On robust synchronization of drive-response Boolean control networks with disturbances ⋮ Quasi-matrix and quasi-inverse-matrix projective synchronization for delayed and disturbed fractional order neural network ⋮ Finite-time lag projective synchronization of nonidentical fractional delayed memristive neural networks

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Synchronization of a class of fractional-order chaotic neural networks
• Finite-time control and synchronization for memristor-based chaotic system via impulsive adaptive strategy
• Hybrid projective synchronization of fractional-order memristor-based neural networks with time delays
• Global Mittag-Leffler stability and synchronization of memristor-based fractional-order neural networks
• Effect of delayed impulses on input-to-state stability of nonlinear systems
• Remarks on fractional derivatives
• New synchronization criteria for memristor-based networks: adaptive control and feedback control schemes
• Projective synchronization of fractional-order memristor-based neural networks
• Finite-time synchronization for memristor-based neural networks with time-varying delays
• Robust stability analysis of fractional-order Hopfield neural networks with parameter uncertainties
• Finite time synchronization problems of delayed complex networks with stochastic perturbations
• Global Mittag-Leffler projective synchronization for fractional-order neural networks: an LMI-based approach
• Chaotic synchronization and anti-synchronization for a novel class of multiple chaotic systems via a sliding mode control scheme
• Hamiltonian model and dynamic analyses for a hydro-turbine governing system with fractional item and time-lag
• Fractional order Lyapunov stability theorem and its applications in synchronization of complex dynamical networks
• Hybrid feedback feedforward: an efficient design of adaptive neural network control
• Nonlinear vector integral equations as contraction mappings
• Non-Fragile Synchronization Control For Markovian Jumping Complex Dynamical Networks With Probabilistic Time-Varying Coupling Delays
• Synchronization and anti-synchronization of fractional dynamical networks
• Stabilization of Delay Systems: Delay-Dependent Impulsive Control
• Analytic Inequalities

This page was built for publication: New methods of finite-time synchronization for a class of fractional-order delayed neural networks