Optimal Placement of Controls for Truss Structures in Space

被引：8

作者：

Li, Dong-Xu ^{[1
]}

Liu, Wang ^{[1
]}

Jiang, Jian-Ping ^{[1
]}

机构：

[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Hunan, Peoples R China

来源：

IEEE INTELLIGENT SYSTEMS | 2012年 / 27卷 / 05期

关键词：

actuators actuators and sensors; genetic algorithm; placement optimization; SITS; space intelligent truss structures;

D O I：

10.1109/MIS.2011.39

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The authors propose a genetic algorithm&#x2013;based approach to finding the optimal placement of actuators and sensors, which is critical for controlling intelligent truss structures in space. © 2001-2011 IEEE.

引用

页码：51 / 56

页数：6

共 6 条

[1] Using Genetic Algorithms and Fuzzy Programming to Monitor Voltage Sags and Swells
Almeida, Carlos Frederico M.
Kagan, Nelson
[J]. IEEE INTELLIGENT SYSTEMS, 2011, 26 (02) : 46 - 53
[2] Li D., 2008, LARGE FLEXIBLE SPACE
[3] Nie S. R.-T., 1997, J VIBRATION ENG, V20, P119
[4] AI in Power Systems and Energy Markets INTRODUCTION
Ramos, Carlos
Liu, Chen-Ching
[J]. IEEE INTELLIGENT SYSTEMS, 2011, 26 (02) : 5 - 8
[5] Sun D.-C., 1998, CHINESE SPACE SCI TE, V18, P1
[6] An Agent-Based Hybrid System for Microarray Data Analysis
Zhang, Zili
Yang, Pengyi
Wu, Xindong
Zhang, Chengqi
[J]. IEEE INTELLIGENT SYSTEMS, 2009, 24 (05) : 53 - 63

← 1 →