Event-Triggered Tracking Control for Adaptive Anti-Disturbance Problem in Systems with Multiple Constraints and Unknown Disturbances

Aimed at the objective of anti-disturbance and reducing data transmission, this article discusses a novel dynamic neural network (DNN) modeling-based anti-disturbance control for a system under the framework of an event trigger. In order to describe dynamical characteristics of irregular disturbance...

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Detalles Bibliográficos
Autores principales: Shen, Hong, Wang, Qin, Yi, Yang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857791/
https://www.ncbi.nlm.nih.gov/pubmed/36673184
http://dx.doi.org/10.3390/e25010043

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9857791/
https://www.ncbi.nlm.nih.gov/pubmed/36673184
http://dx.doi.org/10.3390/e25010043

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