Robust Iterative Learning Control for a Class of Linear Systems with Data Dropouts
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-31
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A robust iterative learning control algorithm is proposed for a class of intermittent systems with disturbances and uncertain initial conditions.
Based on the contraction mapping approach, the convergence condition for the proposed algorithm is first given, and then the bounds on control input and output trajectories can be obtained.
It is shown that these bounds depend on bounds on the initial condition errors and disturbances, and the bounds are zero in the absence of these disturbances.
A numerical example is also given to verify the theoretical result.
American Psychological Association (APA)
Rui, Wang& Xinghe, Ma& Xuhui, Bu. 2013. Robust Iterative Learning Control for a Class of Linear Systems with Data Dropouts. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1010589
Modern Language Association (MLA)
Rui, Wang…[et al.]. Robust Iterative Learning Control for a Class of Linear Systems with Data Dropouts. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1010589
American Medical Association (AMA)
Rui, Wang& Xinghe, Ma& Xuhui, Bu. Robust Iterative Learning Control for a Class of Linear Systems with Data Dropouts. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1010589
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010589