DocumentCode :
2843381
Title :
Stabilization of descriptor system with uncertainties in the derivative coefficient matrix
Author :
Teng, Yufa ; Zhang, Mingxue ; Wang, Fuhong ; Zhang, QingLing ; Hao, Jianzhong
Author_Institution :
Xuzhou Air Force Acad., Xuzhou, China
fYear :
2010
fDate :
26-28 May 2010
Firstpage :
3468
Lastpage :
3472
Abstract :
To the robust normalization and robust stabilization for the descriptor systems with uncertain parameters, the matrix inequations and Lyapunov ineqation are used to get, respectively, sufficient conditions for the normalization of closed-loop descriptor systems via proportional and derivative state feedback (PDSF) and proportional and derivative output feedback (PDOF), a sufficient condition for the robust stabilization of uncertain descriptor systems via PDSF, and a sufficient condition for robust stabilization of the uncertain interconnected large-scale systems. A numerical example is given for the verification of the results.
Keywords :
Lyapunov methods; closed loop systems; interconnected systems; matrix algebra; robust control; state feedback; uncertain systems; Lyapunov ineqation; PDOF; PDSF; closed-loop descriptor systems; derivative coefficient matrix; matrix inequations; proportional and derivative output feedback; proportional and derivative state feedback; robust normalization; robust stabilization; sufficient conditions; uncertain descriptor systems; uncertain interconnected large-scale systems; uncertain parameters; Chemical engineering; Educational institutions; Feeds; Interference elimination; Large-scale systems; Output feedback; Robustness; State feedback; Sufficient conditions; Uncertainty; Descriptor system; PDOF; PDSF; Robust normalization; Robust stabilization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
Type :
conf
DOI :
10.1109/CCDC.2010.5498567
Filename :
5498567
Link To Document :
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