Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.

Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.

Yes === An adaptive iterative learning control(ILC) approach is proposed for a class of multi-input multi-output (MIMO) uncertain nonlinear systems without prior knowledge about system control gain matrices. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for...

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Bibliographic Details
Main Authors: Jiang, Ping, Chen, H.
Language:en
Published: IEEE 2009
Subjects:
Iterative learning control (ILC)
Multi-input multi-output (MIMO)
Nussbaum-type gain
Nonlinear systems
Online Access:http://hdl.handle.net/10454/3500
id ndltd-BRADFORD-oai-bradscholars.brad.ac.uk-10454-3500
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spelling ndltd-BRADFORD-oai-bradscholars.brad.ac.uk-10454-35002019-08-31T03:02:32Z Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems. Jiang, Ping Chen, H. Iterative learning control (ILC) Multi-input multi-output (MIMO) Nussbaum-type gain Nonlinear systems Yes An adaptive iterative learning control(ILC) approach is proposed for a class of multi-input multi-output (MIMO) uncertain nonlinear systems without prior knowledge about system control gain matrices. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for dealing with selection of the unknown control gain and learning of the repeatable uncertainties, respectively. Asymptotic convergence for a trajectory tracking within a finite time interval is achieved through repetitive tracking. Simulations are carried out to show the validity of the proposed control method. 2009-09-23T11:26:28Z 2009-09-23T11:26:28Z 2005 Conference paper published version paper Jiang, P. and Chen, H. (2005). Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems. In: Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference 2005, Seville, Spain, December 12-15, 2005. pp. 2439- 2444. http://hdl.handle.net/10454/3500 en http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=33412&isYear=2005 © 2005 IEEE. Reprinted from 44th IEEE Conference on Decision and Control, and the European Control Conference 2005. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bradford's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. IEEE
collection NDLTD
language en
sources NDLTD
topic Iterative learning control (ILC)
Multi-input multi-output (MIMO)
Nussbaum-type gain
Nonlinear systems
spellingShingle Iterative learning control (ILC)
Multi-input multi-output (MIMO)
Nussbaum-type gain
Nonlinear systems
Jiang, Ping
Chen, H.
Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.
description Yes === An adaptive iterative learning control(ILC) approach is proposed for a class of multi-input multi-output (MIMO) uncertain nonlinear systems without prior knowledge about system control gain matrices. The Nussbaum-type gain and the positive definite discrete matrix kernel are proposed for dealing with selection of the unknown control gain and learning of the repeatable uncertainties, respectively. Asymptotic convergence for a trajectory tracking within a finite time interval is achieved through repetitive tracking. Simulations are carried out to show the validity of the proposed control method.
author Jiang, Ping
Chen, H.
author_facet Jiang, Ping
Chen, H.
author_sort Jiang, Ping
title Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.
title_short Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.
title_full Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.
title_fullStr Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.
title_full_unstemmed Nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.
title_sort nussbaum gain based iterative learning control for a class of multi-input multi-output nonlinear systems.
publisher IEEE
publishDate 2009
url http://hdl.handle.net/10454/3500
work_keys_str_mv AT jiangping nussbaumgainbasediterativelearningcontrolforaclassofmultiinputmultioutputnonlinearsystems
AT chenh nussbaumgainbasediterativelearningcontrolforaclassofmultiinputmultioutputnonlinearsystems
_version_ 1719239541500411904

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