New results on passivity analysis of delayed discrete-time stochastic neural networks
DOI10.1155/2009/139671zbMath1189.93141OpenAlexW2117310533WikidataQ58647385 ScholiaQ58647385MaRDI QIDQ965718
Publication date: 26 April 2010
Published in: Discrete Dynamics in Nature and Society (Search for Journal in Brave)
Full work available at URL: https://eudml.org/doc/228311
computational complexitypassivity analysistime-varying interval delaydiscrete-time stochastic neural networks
Sensitivity (robustness) (93B35) Discrete-time control/observation systems (93C55) Stochastic stability in control theory (93E15) Neural nets and related approaches to inference from stochastic processes (62M45)
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Cites Work
- Mean square exponential stability of uncertain stochastic delayed neural networks
- Improved delay-dependent stability criterion for neural networks with time-varying delays
- Global exponential stability for discrete-time neural networks with variable delays
- New improved exponential stability criteria for discrete-time neural networks with time-varying delay
- Exponential stability of continuous-time and discrete-time cellular neural networks with delays
- New delay-dependent robust stability criterion for uncertain neural networks with time-varying delays
- Simplified exponential stability analysis for recurrent neural networks with discrete and distributed time-varying delays
- Robust passive control for uncertain discrete-time systems with time-varying delays
- Global asymptotic stability of a class of dynamical neural networks
- Passivity and Passification for Networked Control Systems
- Global stability conditions for delayed CNNs
- On the passivity of linear delay systems
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