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

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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Bibliographic Details
Main Authors: Xinying Xu, Yalan Zhao, Mifeng Ren, Lan Cheng, Mingyue Gong
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Entropy
Subjects:
networked control systems
data-driven predictive strategy
non-Gaussian random delays
non-Gaussian disturbances
survival information potential
Online Access:http://www.mdpi.com/1099-4300/20/7/494

Internet

http://www.mdpi.com/1099-4300/20/7/494

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