Robust fault-tolerant iterative learning control for discrete
systems via linear repetitive processes theory
Robust fault-tolerant iterative learning control for discrete
systems via linear repetitive processes theory
This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input
multiple-output discrete linear systems with actuator faults. The stability theory for linear repetitive processes is used to develop
control law design algorithms that can be computed using linear matrix inequalities. An extension to deal with model uncertainty of
the polytopic or norm bounded form is also developed and an illustrative example is given.
254-265
Ding, J
0270c8b4-4223-4ad7-bc27-947064c0d9b4
Cichy, B
7f9e82ee-ff3f-40d7-839e-0e54d878538e
Galkowski, K
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Yang, H Z
b3d3158e-d254-4ee2-92a8-5f8bddd250e3
1 June 2015
Ding, J
0270c8b4-4223-4ad7-bc27-947064c0d9b4
Cichy, B
7f9e82ee-ff3f-40d7-839e-0e54d878538e
Galkowski, K
65b638be-b5a5-4e25-b1b8-e152c08a1cbb
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Yang, H Z
b3d3158e-d254-4ee2-92a8-5f8bddd250e3
Ding, J, Cichy, B, Galkowski, K, Rogers, E and Yang, H Z
(2015)
Robust fault-tolerant iterative learning control for discrete
systems via linear repetitive processes theory.
International Journal of Automation and Computing, 12 (3), .
Abstract
This paper addresses the problem of robust iterative learning control design for a class of uncertain multiple-input
multiple-output discrete linear systems with actuator faults. The stability theory for linear repetitive processes is used to develop
control law design algorithms that can be computed using linear matrix inequalities. An extension to deal with model uncertainty of
the polytopic or norm bounded form is also developed and an illustrative example is given.
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More information
Published date: 1 June 2015
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 381090
URI: http://eprints.soton.ac.uk/id/eprint/381090
ISSN: 1476-8186
PURE UUID: 506b3738-db30-413b-afb9-b0f2bf1dc309
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Date deposited: 30 Aug 2015 08:47
Last modified: 09 Jan 2022 02:40
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Contributors
Author:
J Ding
Author:
B Cichy
Author:
K Galkowski
Author:
E Rogers
Author:
H Z Yang
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