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Iterative learning control for 2-D linear discrete Fornasini–Marchesini model with input saturation.
- Source :
-
International Journal of Systems Science . Jun2020, Vol. 51 Issue 8, p1482-1494. 13p. - Publication Year :
- 2020
-
Abstract
- In this paper, convergent property of a saturation-strategy-based iterative learning control (ILC) law is first investigated for a class of two-dimensional linear discrete first Fornasini–Marchesini model (2-D LDFFM) with input saturation. A three-dimensional dynamical process is transformed into a 2-D dynamical process by row scanning approach or column scanning approach. As a result, it is theoretical proved no matter which method is adopted, perfect tracking on the desired reference surface is accomplished by virtue of the 2-D linear inequality theory. Numerical simulation on a practical thermal process is used to illustrate the effectiveness and feasibility of the designed ILC law. In addition, ILC convergence analysis for 2-D LDFFM with input delay and input saturation is discussed. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ITERATIVE learning control
*COMPUTER simulation
Subjects
Details
- Language :
- English
- ISSN :
- 00207721
- Volume :
- 51
- Issue :
- 8
- Database :
- Academic Search Index
- Journal :
- International Journal of Systems Science
- Publication Type :
- Academic Journal
- Accession number :
- 143828680
- Full Text :
- https://doi.org/10.1080/00207721.2020.1766155