DocumentCode :
115474
Title :
Convex characterization of robust stability analysis and control synthesis for positive linear systems
Author :
Colombino, Marcello ; Smith, Roy S.
Author_Institution :
Autom. Control Lab., Swiss Fed. Inst. of Technol., Zurich, Switzerland
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
4379
Lastpage :
4384
Abstract :
We present necessary and sufficient conditions for robust stability of positive systems. In particular we show that for such systems the structured singular value is equal to its convex upper bound and thus it can be computed efficiently. Using this property, we show that the problem of finding a structured static state feedback controller achieving internal stability, contractiveness, and internal positivity in closed loop remains convex and tractable even in the presence of uncertainty.
Keywords :
closed loop systems; control system analysis; control system synthesis; linear systems; stability; state feedback; closed loop control; control synthesis; convex characterization; convex problem; internal stability; necessary conditions; positive linear systems; robust stability analysis; structured singular value; structured static state feedback controller; sufficient conditions; Closed loop systems; Linear matrix inequalities; Periodic structures; Robust stability; Robustness; State feedback; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7040072
Filename :
7040072
Link To Document :
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