Stability analysis based on partition trajectory approach for switched neural networks with fractional Brown noise disturbance

DOI10.1080/00207179.2016.1237047zbMath1380.93278OpenAlexW2523508130MaRDI QIDQ3132968

Zhi Li, Wu-Neng Zhou, Dongbing Tong, Xianghui Zhou, Jun Yang

Publication date: 12 February 2018

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2016.1237047

zbMATH Keywords

exponential stabilityswitched neural networks\(p\)th momentsystem trajectoryfractional Brown noise

Mathematics Subject Classification ID

Fractional processes, including fractional Brownian motion (60G22) Stabilization of systems by feedback (93D15) Asymptotic stability in control theory (93D20) Stochastic stability in control theory (93E15) Stochastic systems in control theory (general) (93E03)

Related Items (4)

An application of forward difference method in robust stability of discrete uncertainty system with delays ⋮ Stability analysis based on a control adjuster for switched neural networks by trajectory similarity ⋮ Impulsive method to reliable sampled-data control for uncertain fractional-order memristive neural networks with stochastic sensor faults and its applications ⋮ Input-to-state stability of stochastic nonlinear fuzzy Cohen–Grossberg neural networks with the event-triggered control

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