A sampled-data control problem of neural-network-based systems using an improved free-matrix-based inequality
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Publication:2328735
DOI10.1016/j.jfranklin.2019.08.001zbMath1423.93241OpenAlexW2965588989WikidataQ127404314 ScholiaQ127404314MaRDI QIDQ2328735
Publication date: 16 October 2019
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2019.08.001
Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Sampled-data control/observation systems (93C57)
Related Items (7)
Stochastic exponential synchronization for delayed neural networks with semi-Markovian switchings: saturated heterogeneous sampling communication ⋮ Less conservative stability criteria for general neural networks through novel delay-dependent functional ⋮ Exponential stability analysis of neural networks with a time‐varying delay via a generalized Lyapunov‐Krasovskii functional method ⋮ Exponential stability of sampled-data control systems with enhanced average sampling interval ⋮ Less conservative results for stability of sampled-data systems with constant delay ⋮ Dynamic behaviours for semi-discrete stochastic Cohen-Grossberg neural networks with time delays ⋮ Networked sampled-data control of distributed parameter systems via distributed sensor networks
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