Iterative learning control with system relative degree

Iterative learning control with system relative degree

In this thesis, the iterative learning control (ILC) problem for classes of nonlinear systems with well-defined relative degree is addressed and the methodologies such as continuous-time, sample-data and discrete-time ILCs are dealt with. The theoretic framework is presented via defining and analyzi...

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Main Author: Sun, Mingxuan.
Other Authors: Wang, Dan Wei
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/3308
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Institution: Nanyang Technological University
id sg-ntu-dr.10356-3308
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spelling sg-ntu-dr.10356-33082023-07-04T15:44:52Z Iterative learning control with system relative degree Sun, Mingxuan. Wang, Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In this thesis, the iterative learning control (ILC) problem for classes of nonlinear systems with well-defined relative degree is addressed and the methodologies such as continuous-time, sample-data and discrete-time ILCs are dealt with. The theoretic framework is presented via defining and analyzing the ILCs including highest-order differentiation, using lower-order differentiations or without using differentiation in open-loop configuration. Doctor of Philosophy (EEE) 2008-09-17T09:27:04Z 2008-09-17T09:27:04Z 2002 2002 Thesis http://hdl.handle.net/10356/3308 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Sun, Mingxuan.
Iterative learning control with system relative degree
description In this thesis, the iterative learning control (ILC) problem for classes of nonlinear systems with well-defined relative degree is addressed and the methodologies such as continuous-time, sample-data and discrete-time ILCs are dealt with. The theoretic framework is presented via defining and analyzing the ILCs including highest-order differentiation, using lower-order differentiations or without using differentiation in open-loop configuration.
author2 Wang, Dan Wei
author_facet Wang, Dan Wei
Sun, Mingxuan.
format Theses and Dissertations
author Sun, Mingxuan.
author_sort Sun, Mingxuan.
title Iterative learning control with system relative degree
title_short Iterative learning control with system relative degree
title_full Iterative learning control with system relative degree
title_fullStr Iterative learning control with system relative degree
title_full_unstemmed Iterative learning control with system relative degree
title_sort iterative learning control with system relative degree
publishDate 2008
url http://hdl.handle.net/10356/3308
_version_ 1772828787718750208

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