Dissipativity and passivity analysis for discrete-time complex-valued neural networks with time-varying delay

DOI10.1080/23311835.2015.1048580zbMath1339.93087OpenAlexW1585692970MaRDI QIDQ2813489

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Publication date: 24 June 2016

Published in: Cogent Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/23311835.2015.1048580

zbMATH Keywords

dissipativitytime-varying delayLyapunov-krasovskii functionalcomplex-valued neural networkslinear matrix inequalities(LMIs)

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05)

Related Items (5)

Mixed \(\mathcal{H}_{\infty}\)/passive synchronization for complex dynamical networks with sampled-data control ⋮ Global exponential stability of stochastic memristor-based complex-valued neural networks with time delays ⋮ Delay-dependent dynamical analysis of complex-valued memristive neural networks: continuous-time and discrete-time cases ⋮ Multistability of complex-valued neural networks with time-varying delays ⋮ Random recurrent neural networks with delays

Cites Work

• Asymptotically periodic solutions of Volterra system of difference equations
• Robust \(H_{\infty}\) control for a class of nonlinear discrete time-delay stochastic systems with missing measurements
• An Augmented Extended Kalman Filter Algorithm for Complex-Valued Recurrent Neural Networks
• Existence of positive solutions of discrete linear equations with a single delay
• Passivity and complexity
• Complex-Valued Neural Networks
• Nonlinear adaptive prediction of complex-valued signals by complex-valued PRNN

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