Abstract: A time-delay neural system is an accurate class of neural system that exposes delays in both the state values and their derivatives. In this case, it is critical to maintain the system stability. Here, the stability investigation on uncertain switched-neutral systems with state-time delays is the focus of this paper. In fact, a novel adequate condition in terms of the feasibility of Linear Matrix Inequalities (LMIs) is offered to guarantee the global asymptotically stability of this category of systems with parameter uncertainties, based on the Lyapunov-Krasovskii functional method. Additionally, resistance against errors and disturbances can be ensured using the Multiple Quadratic Lyapunov Functions (MQLFs). Through a numerical example, the designed method’s effectiveness is proven.

Nidhal Khorchani, Rafika El Harabi, Wiem Jebri Jemai and Hassen Dahman, “Robust Stability Analysis of Switched Neutral Delayed Systems with Parameter Uncertainties” International Journal of Advanced Computer Science and Applications(IJACSA), 15(3), 2024. http://dx.doi.org/10.14569/IJACSA.2024.01503128

@article{Khorchani2024,
title = {Robust Stability Analysis of Switched Neutral Delayed Systems with Parameter Uncertainties},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.01503128},
url = {http://dx.doi.org/10.14569/IJACSA.2024.01503128},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {3},
author = {Nidhal Khorchani and Rafika El Harabi and Wiem Jebri Jemai and Hassen Dahman}
}