DocumentCode :
577207
Title :
Stochastically stable robust observer for uncertain chaotic systems with system and measurement noises
Author :
Ayati, Moosa
Author_Institution :
Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
fYear :
2011
fDate :
27-29 Dec. 2011
Firstpage :
1136
Lastpage :
1141
Abstract :
This paper presents a new chaos synchronization scheme based on the proposed stochastic adaptive sliding mode observer. The observer overcomes the drive system model uncertainties and unknown parameters to recover the drive system chaotic states form a scalar noisy coupling signal. Using the appropriate adaptation low the unknown parameters of the drive system are estimated and used to boost the state estimations. In addition, drive system state noise, channel noise, and measurement noise, are considered and the system and observer are modeled via stochastic differential equations. Stochastic stability of the drive-response system is proved through several theorems. These theorems guarantee that the mean values of the state estimation errors converge to zero as time goes to infinity. In the observer the adaptive sliding mode gains are always nonsingular even when the estimation error goes to zero. Presented numerical simulations confirm the effectiveness of the proposed observer and chaos synchronization scheme.
Keywords :
adaptive control; chaos; differential equations; drives; observers; robust control; stochastic systems; synchronisation; uncertain systems; variable structure systems; adaptive sliding mode gains; channel noise; chaos synchronization scheme; drive system chaotic states; drive system model uncertainty; drive system state noise; drive-response system; measurement noise; numerical simulations; scalar noisy coupling signal; state estimation errors; state estimations; stochastic adaptive sliding mode observer; stochastic differential equations; stochastic stability; stochastically stable robust observer; system noise; uncertain chaotic systems; unknown parameters; Chaos; Noise; Noise measurement; Observers; Stochastic processes; Synchronization; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
Conference_Location :
Shiraz
Print_ISBN :
978-1-4673-1689-7
Type :
conf
DOI :
10.1109/ICCIAutom.2011.6356821
Filename :
6356821
Link To Document :
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