DocumentCode :
231724
Title :
Robust stability of sampled-data control systems
Author :
Yanwen Liu ; Qingyong Guo ; Yuanhui Wang ; Songtao Zhang
Author_Institution :
Coll. of Autom., Harbin Eng. Univ., Harbin, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
4222
Lastpage :
4227
Abstract :
Because the inter-sample behavior can be considered, the lifting technique now becomes the unique method for design and analysis of sampled-data systems. However, when we consider the robust stability problem by using the small gain theorem, the state transition operator is zero, and the current lifting algorithms can not be used directly. The lifting computation formulas for the case of the robust stability analysis are derived in detail. Further study shows that when the lifting technique is used for robust stability analysis, its result is conservative. A new discretization method for robust stability analysis is proposed in the paper, and it is not conservative when the condition of the small gain theorem is used. Two examples are given here to illustrate the above ideas.
Keywords :
robust control; sampled data systems; discretization method; lifting technique; robust stability analysis; sampled data control system; small gain theorem; state transition operator; Control systems; Discrete-time systems; Equations; Mathematical model; Robust stability; Uncertainty; Visualization; conservative; lifting technique; robust stability; sampled-data control system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6895646
Filename :
6895646
Link To Document :
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