Event-triggered asynchronous synchronization control for switched generalized neural networks with time-varying delay

The present research is concerned with the l(2)-l(infinity) synchronization control for discrete-time switched generalized neural networks subject to time-varying delay. Distinct from the existing correlative results, a novel synchronization paradigm is established, in which the designed synchronization controller only contains the information of neuron states and switching signal at the certain triggering instants scheduled by the designed dynamic event-triggered mechanism. Also, an interesting asynchronous problem caused by the asynchronization of the switching and triggering actions is taken into consideration. For reducing the conservativeness of the conventional approaches, the time-dependent Lyapunov- Krasovskii functional for the resultant asynchronous situation is then constructed, and the correspondent sufficient conditions are formulated to ensure the exponential stability and weighted l(2)-l(infinity)., performance of the concerned synchronization error systems. Finally, the applicability and superiority of the developed synchronization technique are substantiated with two simulation examples. (C) 2022 Elsevier B.V. All rights reserved.