Title
Iterative Learning Control For Networked Stochastic Systems With Random Packet Losses
Abstract
The iterative learning control is constructed for discrete-time stochastic systems with random measurement losses modelled by a stochastic sequence. A simple P-type update law is used and the almost sure convergence is strictly proved for both linear case and nonlinear case based on stochastic approximation. Illustrative examples show the effectiveness of the proposed approach.
Year
DOI
Venue
2015
10.1080/00207179.2014.986762
INTERNATIONAL JOURNAL OF CONTROL
Keywords
Field
DocType
random packet losses, networked stochastic system, stochastic approximation, iterative learning control
Convergence of random variables,Mathematical optimization,Stochastic optimization,Nonlinear system,Control theory,Stochastic neural network,Continuous-time stochastic process,Iterative learning control,Stochastic approximation,Mathematics,Stochastic control
Journal
Volume
Issue
ISSN
88
5
0020-7179
Citations 
PageRank 
References 
10
0.67
8
Authors
2
Name
Order
Citations
PageRank
Dong Shen1152.44
Youqing Wang222025.81