DocumentCode
1775681
Title
ILC for networked nonlinear systems with random measurement losses and unknown control direction
Author
Dong Shen ; Yu Zhang ; Youqing Wang
Author_Institution
Coll. of Inf. Sci. & Technol., Beijing Univ. of Chem. Technol., Beijing, China
fYear
2014
fDate
18-20 June 2014
Firstpage
1438
Lastpage
1443
Abstract
The iterative learning control (ILC) is constructed for the discrete-time networked nonlinear systems with random measurement losses and unknown control direction. The random packet loss is modeled by an arbitrary stochastic sequence with bounded length requirement. A novel regulating approach based on truncations is introduced to make the proposed algorithm find the correct control direction adaptively. An illustrative example shows the effectiveness of the proposed approach.
Keywords
discrete time systems; iterative methods; learning systems; networked control systems; nonlinear control systems; self-adjusting systems; stochastic processes; ILC; arbitrary stochastic sequence; bounded length requirement; discrete-time networked nonlinear systems; iterative learning control; random measurement losses; random packet loss; regulating approach; unknown control direction; Convergence; Mathematical model; Nonlinear systems; Packet loss; Stochastic processes; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Control & Automation (ICCA), 11th IEEE International Conference on
Conference_Location
Taichung
Type
conf
DOI
10.1109/ICCA.2014.6871134
Filename
6871134
Link To Document