Adaptive Fixed-Time Neural Networks Control for Pure-Feedback Non-Affine Nonlinear Systems with State Constraints

A new fixed-time adaptive neural network control strategy is designed for pure-feedback non-affine nonlinear systems with state constraints according to the feedback signal of the error system. Based on the adaptive backstepping technology, the Lyapunov function is designed for each subsystem. The n...

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Detalles Bibliográficos
Autores principales: Li, Yang, Zhu, Quanmin, Zhang, Jianhua, Deng, Zhaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141358/
https://www.ncbi.nlm.nih.gov/pubmed/35626620
http://dx.doi.org/10.3390/e24050737

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141358/
https://www.ncbi.nlm.nih.gov/pubmed/35626620
http://dx.doi.org/10.3390/e24050737

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