An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants
Joint Authors
Wang, Ying-Chung
Chien, Chiang-Ju
Source
Journal of Control Science and Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-02-28
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
We present a design method for iterative learning control system by using an output recurrent neural network (ORNN).
Two ORNNs are employed to design the learning control structure.
The first ORNN, which is called the output recurrent neural controller (ORNC), is used as an iterative learning controller to achieve the learning control objective.
To guarantee the convergence of learning error, some information of plant sensitivity is required to design a suitable adaptive law for the ORNC.
Hence, a second ORNN, which is called the output recurrent neural identifier (ORNI), is used as an identifier to provide the required information.
All the weights of ORNC and ORNI will be tuned during the control iteration and identification process, respectively, in order to achieve a desired learning performance.
The adaptive laws for the weights of ORNC and ORNI and the analysis of learning performances are determined via a Lyapunov like analysis.
It is shown that the identification error will asymptotically converge to zero and repetitive output tracking error will asymptotically converge to zero except the initial resetting error.
American Psychological Association (APA)
Wang, Ying-Chung& Chien, Chiang-Ju. 2012. An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants. Journal of Control Science and Engineering،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-480314
Modern Language Association (MLA)
Wang, Ying-Chung& Chien, Chiang-Ju. An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants. Journal of Control Science and Engineering No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-480314
American Medical Association (AMA)
Wang, Ying-Chung& Chien, Chiang-Ju. An Output-Recurrent-Neural-Network-Based Iterative Learning Control for Unknown Nonlinear Dynamic Plants. Journal of Control Science and Engineering. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-480314
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-480314