SIP-Based Single Neuron Stochastic Predictive Control for Non-Gaussian Networked Control Systems with Uncertain Metrology Delays

In this paper, a novel data-driven single neuron predictive control strategy is proposed for non-Gaussian networked control systems with metrology delays in the information theory framework. Firstly, survival information potential (SIP), instead of minimum entropy, is used to formulate the performan...

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Detalles Bibliográficos
Autores principales: Xu, Xinying, Zhao, Yalan, Ren, Mifeng, Cheng, Lan, Gong, Mingyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513020/
https://www.ncbi.nlm.nih.gov/pubmed/33265584
http://dx.doi.org/10.3390/e20070494

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513020/
https://www.ncbi.nlm.nih.gov/pubmed/33265584
http://dx.doi.org/10.3390/e20070494

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