Event-triggered synchronization for stochastic delayed neural networks: passivity and passification case. (English) Zbl 07889184
Summary: This article investigates the event-triggered synchronization problem of stochastic neural networks under passivity and passification cases. For saving communication resources, an event-triggered approach is engaged in the design of synchronization for the delayed stochastic neural networks. To decrease network trouble, an event-triggered scheme is suggested between the sampler and communication network. A nonfragile event-triggered controller is intended to guarantee the finite-time stability of the subsequent closed-loop system. By applying the Lyapunov-Krasovkii functional (LKF) and the novel integral inequalities, a stability criteria for an interval-time varying delay error system ensure the designed controller can fulfill the necessities of passivity and passification performance. The desired control gain and event-triggered parameters are then found based on the linear matrix inequalities (LMIs). Finally, illustrative examples are given to show the benefits and validity of the desired control law.
© 2022 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd.
© 2022 Chinese Automatic Control Society and John Wiley & Sons Australia, Ltd.
MSC:
| 93-XX | Systems theory; control |
Keywords:
event-triggered control; Lyapunov-Krasovskii functional; passivity; stochastic neural networks; synchronizationReferences:
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