Output-Feedback-Based Adaptive Control for H_Xi Wang, Xinling Li, Xianghui Wu, Weipeng Tai, and Jianping Zhouinfinity Anti-Synchronization of Uncertain Delayed Neural Networks.

Autor: Xi Wang, Xinling Li, Xianghui Wu, Weipeng Tai, Jianping Zhou
Předmět:
Zdroj: IAENG International Journal of Computer Science; Jun2023, Vol. 50 Issue 2, p434-439, 6p
Abstrakt: This paper considers H anti-synchronization (HAS) for uncertain neural networks subject to time-varying delay. An output-feedback-based adaptive control scheme is used to ensure the HAS of the considered networks. An existence condition and update laws of the unknown parameters for the desired controller are developed by resorting to the Lyapunov-Krasovskii functional theory, Bessel-Legendre inequality, as well as reciprocal convex combination. Then, a linear-matrix-inequalities-based design method is developed for the output-feedback gain by decoupling nonlinear terms. Finally, a numerical example is given to illustrate the lower conservatism and effectiveness of the present HAS control method. [ABSTRACT FROM AUTHOR]
Databáze: Supplemental Index