The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.05 - Sept.-Oct. (2012 vol.27)
pp: 51-56
Dong-Xu Li , National University of Defense Technology
Wang Liu , National University of Defense Technology
Jian-Ping Jiang , National University of Defense Technology
ABSTRACT
The authors propose a genetic algorithm–based approach to finding the optimal placement of actuators and sensors, which is critical for controlling intelligent truss structures in space.
INDEX TERMS
Genetic algorithms, Optimization, Actuators, Sensors, genetic algorithm, space intelligent truss structures, SITS, placement optimization, actuators actuators and sensors
CITATION
Dong-Xu Li, Wang Liu, Jian-Ping Jiang, "Optimal Placement of Controls for Truss Structures in Space", IEEE Intelligent Systems, vol.27, no. 5, pp. 51-56, Sept.-Oct. 2012, doi:10.1109/MIS.2011.39
REFERENCES
1. D.-X. Li Large Flexible Space Truss Structures: Dynamic Analyses and Vibration Fuzzy Control, Science Press, 2008.
2. Z. Zhang et al., "An Agent-Based Hybrid System for Microarray Data Analysis," IEEE Intelligent Systems, vol. 24, no. 5, 2009, pp. 53–63.
3. C.F.M. Almeida and N. Kagan, "Using Genetic Algorithms and Fuzzy Programming to Monitor Voltage Sags and Swells," IEEE Intelligent Systems, vol. 26, no. 2, 2011, pp. 46–53.
4. C. Ramos and C.-C. Liu, "AI in Power Systems and Energy Markets," IEEE Intelligent Systems, vol. 26, no. 2, 2011, pp. 5–8.
5. R.-T. Nie, C.-X. Shao, and Z.-Z. Zou, "Mech-Electric Coupling Dynamic Analysis and Vibration Control of Intelligent Truss Structures," J. Vibration Engineering, vol. 20, no. 2, 1997, pp. 119–124.
6. D.-C. Sun, D.-J. Wang, and Z.-L. Xu, "Modal Control Method and Optimal Placement of Active Members in Smart Truss Structures," Chinese Space Science and Technology, vol. 18, no. 4, 1998, pp. 1–7.
27 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool