Novel conditions on exponential stability of a class of delayed neural networks with state-dependent switching

DOI10.1016/j.neunet.2015.07.016zbMath1398.34105OpenAlexW1122104850WikidataQ50864064 ScholiaQ50864064MaRDI QIDQ1669175

Yi Shen, Guo-Dong Zhang

Publication date: 30 August 2018

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2015.07.016

zbMATH Keywords

exponential stabilitytime-varying delaysFilippov solutionsswitching neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20) Discontinuous ordinary differential equations (34A36) Functional-differential inclusions (34K09)

Related Items (10)

Stability of variable-time switched systems ⋮ The properties of the solution for a class of switched systems with internally forced switching ⋮ The existence and properties of the solution of a class of nonlinear differential equations with switching at variable times ⋮ The existence and uniqueness of the solutions of the nonlinear on-off switched systems with switching at variable times ⋮ Synchronization of state-switching Hopfield-type neural networks: a quantized level set approach ⋮ Stabilization analysis of impulsive state-dependent neural networks with nonlinear disturbance: a quantization approach ⋮ Robust stability of impulsive switched neural networks with multiple time delays ⋮ Mean-square exponential input-to-state stability of delayed Cohen-Grossberg neural networks with Markovian switching based on vector Lyapunov functions ⋮ Novel results on finite-time stabilization of state-based switched chaotic inertial neural networks with distributed delays ⋮ Finite-time synchronization of fractional-order memristive neural networks via feedback and periodically intermittent control

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