Exponential dissipativity analysis of discrete‐time switched memristive neural networks with actuator saturation via quasi‐time‐dependent control

DOI10.1002/rnc.4367zbMath1411.93138OpenAlexW2900288909WikidataQ115612051 ScholiaQ115612051MaRDI QIDQ4629728

Tianlong Ma, Haijun Jiang, Cheng Hu, Jinling Wang, Ahmed Alsaedi

Publication date: 28 March 2019

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

Full work available at URL: https://doi.org/10.1002/rnc.4367

zbMATH Keywords

dissipativityactuator saturationmemristordiscrete-time switched neural networksquasi-time-dependent control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) (H^infty)-control (93B36) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Control/observation systems governed by functional relations other than differential equations (such as hybrid and switching systems) (93C30)

Related Items (8)

Stationary distribution for stochastic coupled systems with regime switching and feedback control ⋮ Quasi-stabilization control of quaternion-valued fractional-order memristive neural networks ⋮ New results on stability analysis and extended dissipative conditions for uncertain memristive neural networks with two additive time‐varying delay components and reaction‐diffusion terms ⋮ Discretized quasi‐time‐dependent control for continuous‐time switched linear systems with persistent dwell‐time ⋮ Event‐triggered H∞$$ {H}_{\infty } $$ state estimation for neural networks with time‐varying delays: The continuous‐time case ⋮ Non-fragile output-feedback control for time-delay neural networks with persistent dwell time switching: a system mode and time scheduler dual-dependent design ⋮ Impulsive synchronization of coupled delayed neural networks with actuator saturation and its application to image encryption ⋮ Reliable exponential \(\mathcal{H}_\infty\) filtering for a class of switched reaction-diffusion neural networks

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