APA (7th ed.) Citation

CR, W., F, L., KY, X., HT, W., CK, Z., & Y, H. (2024). A Degree-Dependent Polynomial-Based Reciprocally Convex Matrix Inequality and Its Application to Stability Analysis of Delayed Neural Networks. IEEE transactions on cybernetics, 54(7), 4164. https://doi.org/10.1109/TCYB.2024.3365709

Chicago Style (17th ed.) Citation

CR, Wang, Long F, Xie KY, Wang HT, Zhang CK, and He Y. "A Degree-Dependent Polynomial-Based Reciprocally Convex Matrix Inequality and Its Application to Stability Analysis of Delayed Neural Networks." IEEE Transactions on Cybernetics 54, no. 7 (2024): 4164. https://doi.org/10.1109/TCYB.2024.3365709.

MLA (9th ed.) Citation

CR, Wang, et al. "A Degree-Dependent Polynomial-Based Reciprocally Convex Matrix Inequality and Its Application to Stability Analysis of Delayed Neural Networks." IEEE Transactions on Cybernetics, vol. 54, no. 7, 2024, p. 4164, https://doi.org/10.1109/TCYB.2024.3365709.