![](/images/graphics-bg.png)
A Data Dropout Compensation Algorithm Based on the Iterative Learning Control Methodology for Discrete-Time Systems
Joint Authors
Ibeas, A.
Alonso-Quesada, Santiago
de La Sen, Manuel
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-06
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper deals with the convergence of a remote iterative learning control system subject to data dropouts.
The system is composed by a set of discrete-time multiple input-multiple output linear models, each one with its corresponding actuator device and its sensor.
Each actuator applies the input signals vector to its corresponding model at the sampling instants and the sensor measures the output signals vector.
The iterative learning law is processed in a controller located far away of the models so the control signals vector has to be transmitted from the controller to the actuators through transmission channels.
Such a law uses the measurements of each model to generate the input vector to be applied to its subsequent model so the measurements of the models have to be transmitted from the sensors to the controller.
All transmissions are subject to failures which are described as a binary sequence taking value 1 or 0.
A compensation dropout technique is used to replace the lost data in the transmission processes.
The convergence to zero of the errors between the output signals vector and a reference one is achieved as the number of models tends to infinity.
American Psychological Association (APA)
Alonso-Quesada, Santiago& de La Sen, Manuel& Ibeas, A.. 2015. A Data Dropout Compensation Algorithm Based on the Iterative Learning Control Methodology for Discrete-Time Systems. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1073824
Modern Language Association (MLA)
Alonso-Quesada, Santiago…[et al.]. A Data Dropout Compensation Algorithm Based on the Iterative Learning Control Methodology for Discrete-Time Systems. Mathematical Problems in Engineering No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1073824
American Medical Association (AMA)
Alonso-Quesada, Santiago& de La Sen, Manuel& Ibeas, A.. A Data Dropout Compensation Algorithm Based on the Iterative Learning Control Methodology for Discrete-Time Systems. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1073824
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073824