Switched Linear Model Predictive Controllers for Periodic Exogenous Signals
Switched Linear Model Predictive Controllers for Periodic Exogenous Signals
This paper develops linear switched controllers for periodic exogenous signals using the framework of a continuous-time model predictive control. In this framework, the control signal is generated by an algorithm that uses receding horizon control principle with an on-line optimization scheme that permits inclusion of operational constraints. Unlike traditional repetitive controllers, applying this method in the form of switched linear controllers ensures rumpless transfer from one controller to another. Simulation studies are included to demonstrate the efficacy of the design with or without hard constraints.
848-861
Wang, L
1aaf7ac6-9013-4a66-b5a6-15c50637d5d3
Gawthorp, P J
6201ebeb-5051-4d92-99e4-56f9f9c065e3
Owens, D H
db24b8ef-282b-47c0-9cd2-75e91d312ad7
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
2010
Wang, L
1aaf7ac6-9013-4a66-b5a6-15c50637d5d3
Gawthorp, P J
6201ebeb-5051-4d92-99e4-56f9f9c065e3
Owens, D H
db24b8ef-282b-47c0-9cd2-75e91d312ad7
Rogers, E
611b1de0-c505-472e-a03f-c5294c63bb72
Wang, L, Gawthorp, P J, Owens, D H and Rogers, E
(2010)
Switched Linear Model Predictive Controllers for Periodic Exogenous Signals.
International Journal of Control, 83 (4), .
Abstract
This paper develops linear switched controllers for periodic exogenous signals using the framework of a continuous-time model predictive control. In this framework, the control signal is generated by an algorithm that uses receding horizon control principle with an on-line optimization scheme that permits inclusion of operational constraints. Unlike traditional repetitive controllers, applying this method in the form of switched linear controllers ensures rumpless transfer from one controller to another. Simulation studies are included to demonstrate the efficacy of the design with or without hard constraints.
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Published date: 2010
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 268571
URI: http://eprints.soton.ac.uk/id/eprint/268571
ISSN: 0020-3270
PURE UUID: e808a069-0d8e-453f-8899-38b68fc64e7e
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Date deposited: 01 Mar 2010 14:33
Last modified: 15 Mar 2024 02:42
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Contributors
Author:
L Wang
Author:
P J Gawthorp
Author:
D H Owens
Author:
E Rogers
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