Adaptive Resilient Neural Control of Uncertain Time-Delay Nonlinear CPSs with Full-State Constraints under Deception Attacks

This paper focuses on the adaptive control problem of a class of uncertain time-delay nonlinear cyber-physical systems (CPSs) with both unknown time-varying deception attacks and full-state constraints. Since the sensors are disturbed by external deception attacks making the system state variables u...

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Detalles Bibliográficos
Autores principales: Chen, Zhihao, Wang, Xin, Pang, Ning, Shi, Yushan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297710/
https://www.ncbi.nlm.nih.gov/pubmed/37372244
http://dx.doi.org/10.3390/e25060900

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297710/
https://www.ncbi.nlm.nih.gov/pubmed/37372244
http://dx.doi.org/10.3390/e25060900

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