Constrained multivariable cautious stable predictive control
Necessary and sufficient conditions for the stability of predicted input/output trajectories form the basis of predictive control algorithms with guaranteed stability; the proof of stability derives from the fact that the resulting optimal cost of performance behaves as a stable Lyapunov function. W...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
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IEE
1996
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| _version_ | 1797065834254827520 |
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| author | Gossner, JR Kouvaritakis, B Rossiter, J |
| author_facet | Gossner, JR Kouvaritakis, B Rossiter, J |
| author_sort | Gossner, JR |
| collection | OXFORD |
| description | Necessary and sufficient conditions for the stability of predicted input/output trajectories form the basis of predictive control algorithms with guaranteed stability; the proof of stability derives from the fact that the resulting optimal cost of performance behaves as a stable Lyapunov function. While the single-input single-output case is in the open literature, this paper extends these concepts to the multivariable case and develops an algorithm which utilizes the largest possible class of stable predictions for a given number of degrees of freedom. |
| first_indexed | 2024-03-06T21:34:16Z |
| format | Journal article |
| id | oxford-uuid:45b11de7-5206-418f-909a-a50bc66102db |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:34:16Z |
| publishDate | 1996 |
| publisher | IEE |
| record_format | dspace |
| spelling | oxford-uuid:45b11de7-5206-418f-909a-a50bc66102db2022-03-26T15:09:21ZConstrained multivariable cautious stable predictive controlJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:45b11de7-5206-418f-909a-a50bc66102dbEnglishSymplectic Elements at OxfordIEE1996Gossner, JRKouvaritakis, BRossiter, JNecessary and sufficient conditions for the stability of predicted input/output trajectories form the basis of predictive control algorithms with guaranteed stability; the proof of stability derives from the fact that the resulting optimal cost of performance behaves as a stable Lyapunov function. While the single-input single-output case is in the open literature, this paper extends these concepts to the multivariable case and develops an algorithm which utilizes the largest possible class of stable predictions for a given number of degrees of freedom. |
| spellingShingle | Gossner, JR Kouvaritakis, B Rossiter, J Constrained multivariable cautious stable predictive control |
| title | Constrained multivariable cautious stable predictive control |
| title_full | Constrained multivariable cautious stable predictive control |
| title_fullStr | Constrained multivariable cautious stable predictive control |
| title_full_unstemmed | Constrained multivariable cautious stable predictive control |
| title_short | Constrained multivariable cautious stable predictive control |
| title_sort | constrained multivariable cautious stable predictive control |
| work_keys_str_mv | AT gossnerjr constrainedmultivariablecautiousstablepredictivecontrol AT kouvaritakisb constrainedmultivariablecautiousstablepredictivecontrol AT rossiterj constrainedmultivariablecautiousstablepredictivecontrol |