Convergence Analysis of Iterative Learning Control for Two Classes of 2-D Linear Discrete Fornasini–Marchesini Model
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-09-14
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper first investigates convergent property of two iterative learning control (ILC) laws for two kinds of two-dimensional linear discrete systems described by the first Fornasini–Marchesini model (2-D LDFFM with a direct transmission from inputs to outputs and 2-D LDFFM with input delay).
Different from existing ILC results for 2-D LDFFM, this paper provides convergence analysis in a three-dimensional (3-D) framework.
By using row scanning approach (RSA) or column scanning approach (CSA), it is theoretically proved no matter which method is adopted, perfect tracking on the desired reference surface is accomplished.
In addition, linear matrix inequality (LMI) technique is utilized to computer the learning gain of the ILC controller.
The effectiveness and feasibility of the designed ILC law are illustrated through numerical simulation on a practical thermal process.
American Psychological Association (APA)
Wan, Kai. 2020. Convergence Analysis of Iterative Learning Control for Two Classes of 2-D Linear Discrete Fornasini–Marchesini Model. Complexity،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1143405
Modern Language Association (MLA)
Wan, Kai. Convergence Analysis of Iterative Learning Control for Two Classes of 2-D Linear Discrete Fornasini–Marchesini Model. Complexity No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1143405
American Medical Association (AMA)
Wan, Kai. Convergence Analysis of Iterative Learning Control for Two Classes of 2-D Linear Discrete Fornasini–Marchesini Model. Complexity. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1143405
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143405