Finite-time passivity of neutral-type complex-valued neural networks with time-varying delays
Haydar Akça, Chaouki Aouiti, Farid Touati, Changjin Xu · Mathematical Biosciences & Engineering · 2024
In this work, we investigated the finite-time passivity problem of neutral-type complex-valued neural networks with time-varying delays. On the basis of the Lyapunov functional, Wirtinger-type inequality technique, and linear matrix inequalities (LMIs) approach, new sufficient conditions were derived to ensure the finite-time boundedness (FTB) and finite-time passivity (FTP) of the concerned network model. At last, two numerical examples with simulations were presented to demonstrate the validity of our criteria.