NDLI: Analysis of variable-sampling networked control system based on neural network prediction

Content Provider	IEEE Xplore Digital Library
Author	Yan Xue Ke Liu
Copyright Year	2007
Description	Author affiliation: Univ. of Sci. & Technol. Beijing, Beijing (Yan Xue; Ke Liu)
Abstract	For linear time-invariant normal controlled plant, under the assumption that controller and actuator adopt the method of event-time driven the system become a variable-sampling networked control system. Because network-induced delay time is uncertain, it maybe is more than a variable-sampling period. Based on the predictive control value and the predictive feedback value the variable-sampling networked control system is modeled. At the same time grounding on the predictive error bound and the predictive time studied the condition of stability of the systems. Making used of the Neural Network forecast the predictive control value and the predictive feedback value. In the restriction of the predictive error bound and the predictive time, based on Neural Network predictive control the system is stability. Finally an example is given to illustrate the analysis results.
Starting Page	772
Ending Page	777
File Size	247749
Page Count	6
File Format	PDF
ISBN	9781424410651
DOI	10.1109/ICWAPR.2007.4420773
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-11-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Networked control systems Stability Delay systems Delay effects Predictive models Control systems event-time driven Neural networks Hydraulic actuators Networked control system variable-sampling neural network prediction Neurofeedback Predictive control
Content Type	Text
Resource Type	Article

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