ILC with Initial State Learning for Fractional Order Linear Distributed Parameter Systems

This paper presents a second order P-type iterative learning control (ILC) scheme with initial state learning for a class of fractional order linear distributed parameter systems. First, by analyzing the control and learning processes, a discrete system for P-type ILC is established, and the ILC des...

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Main Authors: Yong-Hong Lan, Zhe-Min Cui
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/11/6/85
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spelling doaj-845e4ce48c1342a2af0c05f1493567342020-11-25T00:40:40ZengMDPI AGAlgorithms1999-48932018-06-011168510.3390/a11060085a11060085ILC with Initial State Learning for Fractional Order Linear Distributed Parameter SystemsYong-Hong Lan0Zhe-Min Cui1School of Information Engineering, Xiangtan University, Xiangtan 411105, ChinaSchool of Information Engineering, Xiangtan University, Xiangtan 411105, ChinaThis paper presents a second order P-type iterative learning control (ILC) scheme with initial state learning for a class of fractional order linear distributed parameter systems. First, by analyzing the control and learning processes, a discrete system for P-type ILC is established, and the ILC design problem is then converted to a stability problem for such a discrete system. Next, a sufficient condition for the convergence of the control input and the tracking errors is obtained by introducing a new norm and using the generalized Gronwall inequality, which is less conservative than the existing one. Finally, the validity of the proposed method is verified by a numerical example.http://www.mdpi.com/1999-4893/11/6/85iterative learning control (ILC)fractional orderdistributed parameter systemgeneralized gronwall inequality
collection DOAJ
language English
format Article
sources DOAJ
author Yong-Hong Lan
Zhe-Min Cui
spellingShingle Yong-Hong Lan
Zhe-Min Cui
ILC with Initial State Learning for Fractional Order Linear Distributed Parameter Systems
Algorithms
iterative learning control (ILC)
fractional order
distributed parameter system
generalized gronwall inequality
author_facet Yong-Hong Lan
Zhe-Min Cui
author_sort Yong-Hong Lan
title ILC with Initial State Learning for Fractional Order Linear Distributed Parameter Systems
title_short ILC with Initial State Learning for Fractional Order Linear Distributed Parameter Systems
title_full ILC with Initial State Learning for Fractional Order Linear Distributed Parameter Systems
title_fullStr ILC with Initial State Learning for Fractional Order Linear Distributed Parameter Systems
title_full_unstemmed ILC with Initial State Learning for Fractional Order Linear Distributed Parameter Systems
title_sort ilc with initial state learning for fractional order linear distributed parameter systems
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2018-06-01
description This paper presents a second order P-type iterative learning control (ILC) scheme with initial state learning for a class of fractional order linear distributed parameter systems. First, by analyzing the control and learning processes, a discrete system for P-type ILC is established, and the ILC design problem is then converted to a stability problem for such a discrete system. Next, a sufficient condition for the convergence of the control input and the tracking errors is obtained by introducing a new norm and using the generalized Gronwall inequality, which is less conservative than the existing one. Finally, the validity of the proposed method is verified by a numerical example.
topic iterative learning control (ILC)
fractional order
distributed parameter system
generalized gronwall inequality
url http://www.mdpi.com/1999-4893/11/6/85
work_keys_str_mv AT yonghonglan ilcwithinitialstatelearningforfractionalorderlineardistributedparametersystems
AT zhemincui ilcwithinitialstatelearningforfractionalorderlineardistributedparametersystems
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