Salvato in:
Dettagli Bibliografici
Autore principale: Lixiong Lin
Natura: Artículo científico
Lingua:en
Pubblicazione: Vilniaus Universitetas 2022
Soggetti:
Accesso online:https://www.redalyc.org/articulo.oa?id=694173183002
https://www.redalyc.org/journal/6941/694173183002/
https://www.redalyc.org/journal/6941/694173183002/html/
https://www.redalyc.org/journal/6941/694173183002/694173183002.epub
https://www.redalyc.org/journal/6941/694173183002/movil
https://doi.org/10.15388/namc.2022.27.26557
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
Sommario:
  • Predefined-time synchronization of 5D Hindmarsh–Rose neuron networks via backstepping design and application in secure communication Lixiong Lin Matemáticas predefined 5D Hindmarsh time stability Rose neuron networks secure communication In this paper, the fast synchronization problem of 5D Hindmarsh–Rose neuron networks is studied. Firstly, the global predefined-time stability of a class of nonlinear dynamical systems is investigated under the complete beta function. Then an active controller via backstepping design is proposed to achieve predefined-time synchronization of two 5D Hindmarsh–Rose neuron networks in which the synchronization time of each state variable of the master-slave 5D Hindmarsh–Rose neuron networks is different and can be defined in advance, respectively. To show the applicability of the obtained theoretical results, the designed predefined-time backstepping controller is applied to secure communication to realize asynchronous communication of multiple different messages. Three numerical simulations are provided to validate the theoretical results. 2022 artículo científico 1392-5113 https://www.redalyc.org/articulo.oa?id=694173183002 https://www.redalyc.org/journal/6941/694173183002/ https://www.redalyc.org/journal/6941/694173183002/html/ https://www.redalyc.org/journal/6941/694173183002/694173183002.epub https://www.redalyc.org/journal/6941/694173183002/movil https://doi.org/10.15388/namc.2022.27.26557 en http://www.redalyc.org/revista.oa?id=6941 Nonlinear Analysis: Modelling and Control application/pdf Vilniaus Universitetas Nonlinear Analysis: Modelling and Control (Lituania) Num.4 Vol.27