Iterative learning control with neural network
In this thesis, we will give the proof of the convergence and robustness of the system with off-line NN training algorithm using ILC analysis tools. Further more, we will exploit the on-line implementation and demonstrate the system convergence using Lyapunov approach.
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2008
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sg-ntu-dr.10356-46422023-07-04T16:14:27Z Iterative learning control with neural network Li, Jin Yu. Wang, Dan Wei School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this thesis, we will give the proof of the convergence and robustness of the system with off-line NN training algorithm using ILC analysis tools. Further more, we will exploit the on-line implementation and demonstrate the system convergence using Lyapunov approach. Master of Engineering 2008-09-17T09:55:50Z 2008-09-17T09:55:50Z 2002 2002 Thesis http://hdl.handle.net/10356/4642 Nanyang Technological University application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Li, Jin Yu. Iterative learning control with neural network |
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In this thesis, we will give the proof of the convergence and robustness of the system with off-line NN training algorithm using ILC analysis tools. Further more, we will exploit the on-line implementation and demonstrate the system convergence using Lyapunov approach. |
author2 |
Wang, Dan Wei |
author_facet |
Wang, Dan Wei Li, Jin Yu. |
format |
Theses and Dissertations |
author |
Li, Jin Yu. |
author_sort |
Li, Jin Yu. |
title |
Iterative learning control with neural network |
title_short |
Iterative learning control with neural network |
title_full |
Iterative learning control with neural network |
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Iterative learning control with neural network |
title_full_unstemmed |
Iterative learning control with neural network |
title_sort |
iterative learning control with neural network |
publishDate |
2008 |
url |
http://hdl.handle.net/10356/4642 |
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1772827234383429632 |