Variable Sampling Approach to Mitigate Instability in Networked Control Systems with Delays

被引：15

作者：

Lopez-Echeverria, Daniel ^{[1
]}

Magana, Mario E. ^{[1
]}

机构：

[1] Oregon State Univ, Sch Elect Engn & Comp Sci, Corvallis, OR 97331 USA

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS | 2012年 / 23卷 / 01期

关键词：

Feedback control; networked control system; neural networks; prediction; time delay; NEURAL-NETWORK; PREDICTION;

D O I：

10.1109/TNNLS.2011.2178445

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper analyzes a new alternative approach to compensate for the effects of time delays on a dynamic networked control system (NCS). The approach is based on the use of time-delay-predicted values as the sampling times of the NCS. We use a one-step-ahead prediction algorithm based on an adaptive time delay neural network. The application of pole placement and linear quadratic regulator methods to compute the feedback gains taking into account the estimated time delays is investigated.

引用

页码：119 / 126

页数：8

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