DocumentCode :
231779
Title :
Robust H control for large-scale Systems with uncertain missing measurements probabilities
Author :
Zhou Ying ; Jin Qinfeng
Author_Institution :
Coll. of Autom., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear :
2014
fDate :
28-30 July 2014
Firstpage :
4366
Lastpage :
4370
Abstract :
In this paper, robust stabilization problems for a class of large-scale systems with missing measurements are considered. It is assumed that the occurrence of missing measurements satisfies a Bernoulli random binary switching sequence with an unknown conditional probability distribution. A state feedback controller can be designed to make the closed-loop large-scale systems exponentially mean-square stable and achieve the prescribed H performance in term of linear matrix inequality (LMI). A numerical example is also provided to demonstrate the validity of the proposed design approach.
Keywords :
H control; asymptotic stability; closed loop systems; large-scale systems; linear matrix inequalities; robust control; statistical distributions; uncertain systems; Bernoulli random binary switching sequence; LMI; closed-loop large-scale systems; exponential mean-square stability; linear matrix inequality; robust H control; robust stabilization problems; state feedback controller design; uncertain missing measurements probabilities; unknown conditional probability distribution; Educational institutions; Large-scale systems; Linear matrix inequalities; Measurement uncertainty; Robustness; State feedback; Large-scale systems; Linear Matrix Inequality; State feedback controller; Unknown conditional probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
Type :
conf
DOI :
10.1109/ChiCC.2014.6895671
Filename :
6895671
Link To Document :
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