DocumentCode
1729789
Title
Design of observer for networked control systems with non-Gaussian noise
Author
Li Chao ; Wang Yan
Author_Institution
Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
fYear
2013
Firstpage
6583
Lastpage
6587
Abstract
In this paper, a minimum entropy (ME) observer is proposed for nonlinear networked control system (NCS) with non-Gaussian time delay and noise. The observer gain is updated using information theoretic learning (ITL) techniques so that the entropy of the error is minimized. The gradient descent algorithm is applied to get the update rule for the observer gain. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed approach.
Keywords
Gaussian noise; closed loop systems; control system synthesis; delays; entropy; feedback; gradient methods; learning (artificial intelligence); networked control systems; nonlinear control systems; observers; ITL techniques; ME observer; NCS; closed-loop feedback control system; gradient descent algorithm; information theoretic learning techniques; minimum entropy observer; nonGaussian noise; nonGaussian time delay; nonlinear networked control system; observer design; observer gain; Adaptive systems; Delay effects; Entropy; Networked control systems; Noise; Observers; ITL; MEE observer; NCS; non-Gaussian; time delay;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2013 32nd Chinese
Conference_Location
Xi´an
Type
conf
Filename
6640594
Link To Document