DocumentCode
3214403
Title
Modeling and Control of Networked Control Systems
Author
Hongbo Li ; Zengqi Sun ; Badong Chen
Author_Institution
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
2018
Lastpage
2023
Abstract
This paper is concerned with modeling and control of the networked control systems (NCSs). A new general model for the considered NCSs is proposed under consideration of network-induced delay, data packet dropout and nonlinear characteristic simultaneously. Based on the given model, an optimal controller with feedback gain optimized based on GASA algorithm (genetic algorithm and simulated anneal algorithm) is proposed. Compared to existing controllers, the proposed one is less conservative and can be applied to nonlinear NCSs. Two examples show the effectiveness of the proposed approaches.
Keywords
adaptive Kalman filters; delay systems; distributed control; feedback; genetic algorithms; nonlinear control systems; observers; simulated annealing; adaptive Kalman filter; data packet dropout; feedback gain; genetic algorithm; network-induced delay; nonlinear networked control systems; optimal controller; simulated annealing; state observer; Aircraft manufacture; Application software; Computer networks; Genetic algorithms; Networked control systems; Optimal control; Sampling methods; Simulated annealing; Stability; Sun; GASA algorithm (Genetic algorithm and Simulated anneal algorithm); Networked control systems (NCSs); adaptive kalman filter; state observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280908
Filename
4060456
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