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Robust iterative learning control for systems with norm-bounded uncertainties

Robust iterative learning control for systems with norm-bounded uncertainties
Robust iterative learning control for systems with norm-bounded uncertainties
A new robust iterative learning control scheme is presented for state tracking control of nonlinear MIMO systems. The main characteristic of the proposed controller lies in its ability to deal with unstructured uncertainties that are norm-bounded but not globally or locally Lipschitz continuous as usual. The classical resetting condition of iterative learning control is removed and replaced with more practical alignment condition. The class of systems to be considered is further extended to more general scenarios, in which input distribution uncertainties are included. In the end, an illustrative example is presented to demonstrate the efficacy of the proposed control scheme
1049-8923
697-718
Li, Xuefang
21a1d366-0367-44f0-97cd-a6013849cfea
Huang, Deqing
c84e413b-3196-4f6a-a0be-d77ab0f4f882
Chu, B.
555a86a5-0198-4242-8525-3492349d4f0f
Xu, Jian-Xin
9417bf56-c900-4492-a8ba-e624c7f0c111
Li, Xuefang
21a1d366-0367-44f0-97cd-a6013849cfea
Huang, Deqing
c84e413b-3196-4f6a-a0be-d77ab0f4f882
Chu, B.
555a86a5-0198-4242-8525-3492349d4f0f
Xu, Jian-Xin
9417bf56-c900-4492-a8ba-e624c7f0c111

Li, Xuefang, Huang, Deqing, Chu, B. and Xu, Jian-Xin (2016) Robust iterative learning control for systems with norm-bounded uncertainties. International Journal of Robust and Nonlinear Control, 26 (4), 697-718. (doi:10.1002/rnc.3333).

Record type: Article

Abstract

A new robust iterative learning control scheme is presented for state tracking control of nonlinear MIMO systems. The main characteristic of the proposed controller lies in its ability to deal with unstructured uncertainties that are norm-bounded but not globally or locally Lipschitz continuous as usual. The classical resetting condition of iterative learning control is removed and replaced with more practical alignment condition. The class of systems to be considered is further extended to more general scenarios, in which input distribution uncertainties are included. In the end, an illustrative example is presented to demonstrate the efficacy of the proposed control scheme

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Published date: 10 March 2016

Identifiers

Local EPrints ID: 472454
URI: http://eprints.soton.ac.uk/id/eprint/472454
ISSN: 1049-8923
PURE UUID: 87d710c1-6adb-40ef-91ee-110d4827f030
ORCID for B. Chu: ORCID iD orcid.org/0000-0002-2711-8717

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Date deposited: 06 Dec 2022 17:31
Last modified: 17 Mar 2024 03:28

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Contributors

Author: Xuefang Li
Author: Deqing Huang
Author: B. Chu ORCID iD
Author: Jian-Xin Xu

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