DocumentCode
184871
Title
On robust stability of aperiodic sampled-data systems - An integral quadratic constraint approach
Author
Chung-Yao Kao ; Dian-Rong Wu
Author_Institution
Dept. of Electr. Eng., Nat. Sun Yat-Sen Univ., Kaohsiung, Taiwan
fYear
2014
fDate
4-6 June 2014
Firstpage
4871
Lastpage
4876
Abstract
This manuscript is concerned with stability analysis of sampled-data systems with non-uniform sampling patterns. The stability problem is tackled from a continuous-time point of view, via the so-called “input delay approach”, where the “aperiodic sampling operation” is modelled by a “average delay-difference” operator for which characterization based on integral quadratic constrains (IQC) is identified. The system is then viewed as feedback interconnection of a stable linear time-varying system and the “average delay-difference” operator. With the IQCs identified for the “average delay-difference” operator, the IQC theory is applied to derive convex stability conditions. Results of numerical tests are given to illustrate the effectiveness of the proposed approach.
Keywords
continuous time systems; delay systems; feedback; integral equations; linear systems; robust control; sampled data systems; time-varying systems; IQC theory; aperiodic sampled-data systems; aperiodic sampling operation; average delay-difference operator; continuous-time system; convex stability conditions; feedback interconnection; input delay approach; integral quadratic constrains; integral quadratic constraint approach; linear time-varying system stabilization; nonuniform sampling patterns; numerical tests; robust stability; Delays; Linear matrix inequalities; Numerical stability; Robust stability; Stability criteria; Symmetric matrices; Delay systems; Stability of linear systems; Uncertain systems;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2014
Conference_Location
Portland, OR
ISSN
0743-1619
Print_ISBN
978-1-4799-3272-6
Type
conf
DOI
10.1109/ACC.2014.6859334
Filename
6859334
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