DocumentCode
2905049
Title
On the compensation of LQG over a lossy network utilizing previous control signals
Author
Jen-te Yu ; Li-Chen Fu
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear
2013
fDate
17-19 June 2013
Firstpage
2339
Lastpage
2343
Abstract
In this paper we study the compensation problem of discrete-time LQG over a lossy network under TCP-like protocols utilizing previous control signal in the presence of control signal loss. We first show that two technical difficulties, one delay related and the other state inconsistency related, will be encountered when one attempts to analyze the effect from hold-input on the system as control loss occurs. Using a special technique presented in the paper that exploits the internal structure of the optimal feedback gain thus circumvents the above two difficulties, we show why direct use of hold-input may turn out to be inappropriate from closed loop stability standpoint. Following that we then show how it should be modified thus improving existing hold-input method and how the resulting compensation problem can be transformed into three kinds of static output feedback related problems that are easier to solve. A solution algorithm of the new reformulated problems is presented. Numerical examples are provided to demonstrate the effectiveness of the proposed approach.
Keywords
closed loop systems; discrete time systems; feedback; linear quadratic Gaussian control; signal processing; stability; transport protocols; LQG compensation; TCP like protocols; closed loop stability; discrete time LQG; internal structure; lossy network; optimal feedback; previous control signals; Actuators; Eigenvalues and eigenfunctions; Equations; Kalman filters; Mathematical model; Output feedback; Stability analysis; LQG; LQR; compensation; hold-input; lossy network; signal arrival rate; static output feedback;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2013
Conference_Location
Washington, DC
ISSN
0743-1619
Print_ISBN
978-1-4799-0177-7
Type
conf
DOI
10.1109/ACC.2013.6580183
Filename
6580183
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