DocumentCode :
2650908
Title :
Insensitive H filtering for fast-sampled linear systems with respect to sampling time jitter
Author :
Xiang-Gui Guo ; Guang-Hong Yang
Author_Institution :
Sch. of Electr. Eng., Tianjin Univ. of Technol., Tianjin, China
fYear :
2012
fDate :
23-25 May 2012
Firstpage :
4202
Lastpage :
4207
Abstract :
This paper is concerned with the problem of designing insensitive H filters for fast-sampled linear systems with insensitivity to sampling time jitter. Delta-domain model is used to avoid the inherent numerical ill-condition resulting from the use of the standard shift-domain model at high sampling rates. A sensitivity approach is proposed to mitigate the effects of sampling time jitter on system performance. Projection Lemma and linear matrix inequality (LMI) technique are combined to design insensitive H filters that yield an optimal trade-off between the standard H criterion and the sensitivity of the transfer function with respect to sampling time jitter. Finally, the effectiveness of the proposed method is shown by a numerical example.
Keywords :
H filters; linear matrix inequalities; linear systems; sampled data systems; sampling methods; sensitivity; timing jitter; transfer functions; LMI technique; delta-domain model; fast-sampled linear systems; inherent numerical ill-condition avoidance; insensitive H filtering design; linear matrix inequality technique; optimal trade-off; projection lemma; sampling time jitter effects mitigation; standard H criterion; standard shift-domain model; system performance; transfer function sensitivity; Educational institutions; Jitter; Numerical models; Sensitivity; Standards; System performance; Transfer functions; Delta operator; H filter; Linear matrix inequality (LMI); Sampling time jitter; Sensitivity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
Type :
conf
DOI :
10.1109/CCDC.2012.6243115
Filename :
6243115
Link To Document :
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