Stabilization analysis of impulsive state-dependent neural networks with nonlinear disturbance: a quantization approach
DOI10.34768/amcs-2020-0021zbMath1465.93160OpenAlexW3044966697MaRDI QIDQ2023630
Zhenkun Huang, Yaxian Hong, Honghua Bin
Publication date: 3 May 2021
Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)
Full work available at URL: http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-12c84474-060b-4e6e-a7d6-4cc24ddb319a/c/06_hong_bin_huang_stabilization_analysis_of_impulsive_2020_2.pdf
Stabilization of systems by feedback (93D15) Input-output approaches in control theory (93D25) Asymptotic stability in control theory (93D20) Networked control (93B70)
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- Event-Triggered Control for Consensus Problem in Multi-Agent Systems With Quantized Relative State Measurements and External Disturbance
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