DocumentCode :
2297487
Title :
New Robust H/spl infin/ and L2-L/spl infin/ Filtering for LPV Systems with Both Discrete and Distributed Delays
Author :
Gao, Huijun ; Wu, Ligang ; Shi, Peng ; Mou, Shaoshuai ; Wang, Changhong
Author_Institution :
Harbin Inst. of Technol.
fYear :
2006
fDate :
14-16 June 2006
Firstpage :
5632
Lastpage :
5637
Abstract :
This paper is concerned with the problems of delay-dependent robust Hscrinfin and Lscr2-Lscrinfin filtering for a class of linear parameter varying (LPV) systems with both discrete and distributed delays. The distributed delays are assumed to appear in both the state and measurement equations. Our attention is focused on the design of delay-dependent robust full-order filters, which guarantee the robust asymptotic stability and a prescribed noise attenuation level in an Hscrinfin or Lscr2-Lscrinfin sense for the filtering error dynamics. The desired filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities (LMIs), which can be solved via efficient interior-point algorithms
Keywords :
Hinfin control; asymptotic stability; control system synthesis; convex programming; delays; discrete systems; distributed parameter systems; filtering theory; linear matrix inequalities; linear systems; robust control; Hscrinfin filtering; Lscr2-Lscrinfin filtering; asymptotic stability; convex optimization; delay-dependent filtering; discrete delays; distributed delays; filtering error dynamics; interior-point algorithms; linear matrix inequalities; linear parameter varying systems; noise attenuation; robust filtering; Asymptotic stability; Attenuation; Delay; Equations; Filtering; Linear matrix inequalities; Noise level; Noise robustness; Nonlinear filters; Robust stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2006
Conference_Location :
Minneapolis, MN
Print_ISBN :
1-4244-0209-3
Electronic_ISBN :
1-4244-0210-7
Type :
conf
DOI :
10.1109/ACC.2006.1657621
Filename :
1657621
Link To Document :
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