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Acknowledgements
This work was supported by National Natural Science Foundation of China (Grant Nos. 61573008, 61973199, 61973200), Taishan Scholar Project of Shandong Province of China, and SDUST Research Fund (Grant No. 2018 TDJH101).
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Appendixes A–D. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
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Adaptive event-trigger-based sampled-data stabilization of complex-valued neural networks: a real and complex LMI approach
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Wang, X., Wang, Z., Xia, J. et al. Adaptive event-trigger-based sampled-data stabilization of complex-valued neural networks: a real and complex LMI approach. Sci. China Inf. Sci. 66, 149203 (2023). https://doi.org/10.1007/s11432-020-3237-x
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DOI: https://doi.org/10.1007/s11432-020-3237-x