Receding horizon control of switching systems
This paper exploits the concept of periodic invariance in order to derive a novel predictive control algorithm for switched systems. The offline computation here concerns the definition of sequences of switches which return the state vector to a set after a given number of moves, while an online opt...
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| Format: | Conference item |
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2009
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| _version_ | 1797100055090429952 |
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| author | Lee, Y Kouvaritakis, B |
| author_facet | Lee, Y Kouvaritakis, B |
| author_sort | Lee, Y |
| collection | OXFORD |
| description | This paper exploits the concept of periodic invariance in order to derive a novel predictive control algorithm for switched systems. The offline computation here concerns the definition of sequences of switches which return the state vector to a set after a given number of moves, while an online optimization is used to improve performance by exploiting information available on the value of the state at each time instant. The algorithm is shown to have closed loop stability and to ensure that the state is steered to a bounded set of ellipsoids centered on the target state. The results of the paper are illustrated by means of a numerical example. © 2009 Elsevier Ltd. All rights reserved. |
| first_indexed | 2024-03-07T05:32:20Z |
| format | Conference item |
| id | oxford-uuid:e2b10a7c-b1ae-4bf4-9aa7-d39c3520d50a |
| institution | University of Oxford |
| last_indexed | 2024-03-07T05:32:20Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | oxford-uuid:e2b10a7c-b1ae-4bf4-9aa7-d39c3520d50a2022-03-27T10:03:19ZReceding horizon control of switching systemsConference itemhttp://purl.org/coar/resource_type/c_5794uuid:e2b10a7c-b1ae-4bf4-9aa7-d39c3520d50aSymplectic Elements at Oxford2009Lee, YKouvaritakis, BThis paper exploits the concept of periodic invariance in order to derive a novel predictive control algorithm for switched systems. The offline computation here concerns the definition of sequences of switches which return the state vector to a set after a given number of moves, while an online optimization is used to improve performance by exploiting information available on the value of the state at each time instant. The algorithm is shown to have closed loop stability and to ensure that the state is steered to a bounded set of ellipsoids centered on the target state. The results of the paper are illustrated by means of a numerical example. © 2009 Elsevier Ltd. All rights reserved. |
| spellingShingle | Lee, Y Kouvaritakis, B Receding horizon control of switching systems |
| title | Receding horizon control of switching systems |
| title_full | Receding horizon control of switching systems |
| title_fullStr | Receding horizon control of switching systems |
| title_full_unstemmed | Receding horizon control of switching systems |
| title_short | Receding horizon control of switching systems |
| title_sort | receding horizon control of switching systems |
| work_keys_str_mv | AT leey recedinghorizoncontrolofswitchingsystems AT kouvaritakisb recedinghorizoncontrolofswitchingsystems |