Some new results on stability of Takagi-Sugeno fuzzy Hopfield neural networks

DOI10.1016/j.fss.2011.05.010zbMath1234.93088OpenAlexW2036282926MaRDI QIDQ410754

Choon Ki Ahn

Publication date: 3 April 2012

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2011.05.010

zbMATH Keywords

learningpassivityasymptotic stabilityneuro-fuzzy systemsLyapunov stability theoryinput-to-state stability (ISS)

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Input-output approaches in control theory (93D25) Asymptotic stability in control theory (93D20)

Related Items (11)

Global exponential \(p\)-stability of stochastic non-autonomous Takagi-Sugeno fuzzy cellular neural networks with time-varying delays and impulses ⋮ Analysis, filtering, and control for Takagi-Sugeno fuzzy models in networked systems ⋮ LMI approach to exponential stability and almost sure exponential stability for stochastic fuzzy Markovian-jumping Cohen-Grossberg neural networks with nonlinear \(p\)-Laplace diffusion ⋮ Peak-to-peak exponential direct learning of continuous-time recurrent neural network models: a matrix inequality approach ⋮ Global exponential stability of delayed Markovian jump fuzzy cellular neural networks with generally incomplete transition probability ⋮ Input-to-state stability for dynamical neural networks with time-varying delays ⋮ Passive and exponential filter design for fuzzy neural networks ⋮ Receding horizon disturbance attenuation for Takagi-Sugeno fuzzy switched dynamic neural networks ⋮ State estimation for T–S fuzzy Hopfield neural networks via strict output passivation of the error system ⋮ Tolerant control for non-Gaussian stochastic processes with unknown faults via two-step fuzzy modeling ⋮ Global stability of Clifford-valued Takagi-Sugeno fuzzy neural networks with time-varying delays and impulses

Uses Software

• LMI toolbox

Cites Work

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