An Immune-Genetic Algorithm-Based Scheduling Optimization in a Networked Control System

被引：1
|
作者：
Zhang, Xiang-feng [1 ]
Wang, Zhi-jie [1 ]
Liang, Zhao-xia [1 ]
机构：
[1] Shanghai Dianji Univ, Coll Elect, Shanghai 200240, Peoples R China
来源：
PROCEEDINGS OF THE 2009 WRI GLOBAL CONGRESS ON INTELLIGENT SYSTEMS, VOL I | 2009年
关键词：
STABILITY;
D O I：
10.1109/GCIS.2009.128
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Network performance relies on the design of control algorithm and network information scheduling in a networked control system (NCS) The effect of the network scheduling is to allocate rationally network resources and improve network utilization A scheduling approach is presented to implement the scheduling of a set of periodic tasks in this paper And an immune-genetic algorithm (IGA) is proposed to realize the network scheduling optimization. We take the transmission error of control systems as an object function The simulation results show that the approach can optimize the scheduling of NCS and improve the network resource utilization
引用
收藏
页码：32 / 35
页数：4
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