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