DocumentCode
1752414
Title
Linear Stochastic Small Gain Theorem with State and Control-Dependent Noise
Author
Zhang, Weihai ; Zhang, Huanshui ; Huang, Yulin
Author_Institution
Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao
Volume
1
fYear
0
fDate
0-0 0
Firstpage
248
Lastpage
251
Abstract
This paper presents a mean-square small gain theory for linear stochastic Ito systems with both state and control-dependent noise, what we have obtained improves and generalizes the previous results on the system with only state-dependent noise to more general models
Keywords
Riccati equations; linear synchronous motors; matrix algebra; mean square error methods; stability; stochastic systems; transfer functions; control-dependent noise; exact detectability; linear stochastic Ito systems; linear stochastic small gain theorem; mean square stability; mean-square small gain theory; state noise; Control systems; Educational institutions; Gain; Indium tin oxide; Riccati equations; Stability; Stochastic resonance; Stochastic systems; Symmetric matrices; Transfer functions; exact detectability; mean square stability; small gain theorem; stochastic systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location
Dalian
Print_ISBN
1-4244-0332-4
Type
conf
DOI
10.1109/WCICA.2006.1712310
Filename
1712310
Link To Document