DocumentCode :
3353594
Title :
Induced norm from L2 to L in SISO sampled-data systems
Author :
Jung Hoon Kim ; Hagiwara, Tomomichi
Author_Institution :
Dept. of Electr. Eng., Kyoto Univ., Kyoto, Japan
fYear :
2015
fDate :
1-3 July 2015
Firstpage :
2862
Lastpage :
2867
Abstract :
This paper investigates the maximum amplitude (i.e., the L norm) of the output for the worst input with a unit energy (i.e., a unit L2 norm) in single-input/single-output (SISO) linear time-invariant (LTI) sampled-data systems, by which we mean the generalized plant and the controller are both LTI. It is known that the induced norm from L2 to L coincides with the H2 norm in SISO LTI systems. To highlight the arguments tailored to (SISO) sampled-data systems in this paper, we first see how this induced norm reduces to H2 norms in the continuous-time and discrete-time cases. Through the lifting-based arguments, we next give a closed-form representation of the induced norm from L2 to L in SISO LTI sampled-data systems. We further exploit the associated arguments to compare this induced norm with two existing definitions of the H2 norm for sampled-data systems, and show that the induced norm coincides with neither of them in SISO LTI sampled-data systems. We further develop a more sophisticated closed-form representation for the induced norm and give an approximate but asymptotically exact method for its computation.
Keywords :
H2 control; continuous time systems; linear systems; sampled data systems; H2 norms; L norm; L2 norm; SISO LTI sampled-data systems; continuous-time case; discrete-time case; induced norm; lifting-based arguments; linear time-invariant system; single-input-single-output system; Context; Data systems; Linear matrix inequalities; Linear systems; Sampled data systems; Transfer functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2015
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4799-8685-9
Type :
conf
DOI :
10.1109/ACC.2015.7171169
Filename :
7171169
Link To Document :
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