LMI-based gain scheduled ILC design for linear
parameter-varying systems
LMI-based gain scheduled ILC design for linear
parameter-varying systems
This paper considers the design of iterative learning control laws for systems whose state-space model matrices are functions of a vector of varying parameters. The repetitive process setting is exploited to develop a linear matrix inequality based procedure for computing gain-scheduling feedback and feedforward (learning) controllers. These controllers guarantee acceptable dynamics along the trials and ensure monotonic convergence of the trial-to-trial error dynamics, respectively. A simulation example is given to illustrate the theoretical developments.
Paszke, W.
dd4b8f12-17c7-45ee-bfb0-e9675bd7d854
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Galkowski, K.
40c02cf5-8fcb-44de-bb1e-f9f70fdd265d
Paszke, W.
dd4b8f12-17c7-45ee-bfb0-e9675bd7d854
Rogers, E.
611b1de0-c505-472e-a03f-c5294c63bb72
Galkowski, K.
40c02cf5-8fcb-44de-bb1e-f9f70fdd265d
Paszke, W., Rogers, E. and Galkowski, K.
(2016)
LMI-based gain scheduled ILC design for linear
parameter-varying systems.
2016 American Control Conference, ACC 2016, , Boston, United States.
06 - 08 Jul 2016.
6 pp
.
(doi:10.1109/ACC.2016.7524943).
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper considers the design of iterative learning control laws for systems whose state-space model matrices are functions of a vector of varying parameters. The repetitive process setting is exploited to develop a linear matrix inequality based procedure for computing gain-scheduling feedback and feedforward (learning) controllers. These controllers guarantee acceptable dynamics along the trials and ensure monotonic convergence of the trial-to-trial error dynamics, respectively. A simulation example is given to illustrate the theoretical developments.
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e-pub ahead of print date: 1 August 2016
Venue - Dates:
2016 American Control Conference, ACC 2016, , Boston, United States, 2016-07-06 - 2016-07-08
Organisations:
Vision, Learning and Control
Identifiers
Local EPrints ID: 386834
URI: http://eprints.soton.ac.uk/id/eprint/386834
PURE UUID: 5a1190de-a1b6-4e49-8063-6c46fc2496e2
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Date deposited: 02 Feb 2016 20:35
Last modified: 15 Mar 2024 02:42
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Contributors
Author:
W. Paszke
Author:
E. Rogers
Author:
K. Galkowski
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