This paper is dedicated to studying the mean square exponential stability of switched stochastic time-varying delay neural networks with asynchronous switching aperiodic intermittent control. By utilizing the Halanay-type inequality and designing appropriate asynchronous switching aperiodic intermittent control, several novel stability criteria of switched stochastic delay neural networks with asynchronous aperiodic intermittent control are presented under the Lyapunov function method and Lyapunov functional method. Among them, asynchronous switching aperiodic intermittent controllers are more practical and flexible compared to state feedback controllers. Finally, we provide two examples to verify the effectiveness of the theoretical results.
Stability analysis of switched stochastic time‐varying delay neural networks with asynchronous switching aperiodic intermittent control
Karimi, Hamid Reza
2024-01-01
Abstract
This paper is dedicated to studying the mean square exponential stability of switched stochastic time-varying delay neural networks with asynchronous switching aperiodic intermittent control. By utilizing the Halanay-type inequality and designing appropriate asynchronous switching aperiodic intermittent control, several novel stability criteria of switched stochastic delay neural networks with asynchronous aperiodic intermittent control are presented under the Lyapunov function method and Lyapunov functional method. Among them, asynchronous switching aperiodic intermittent controllers are more practical and flexible compared to state feedback controllers. Finally, we provide two examples to verify the effectiveness of the theoretical results.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.