Robust receding horizon optimal control
Receding horizon optimal control is a special case of model predictive control in which optimal controls are computed based on predicted process conditions over some suitable time horizon. The controls are regularly recomputed in light of new measurements from the plant or changes in predicted condi...
| Hlavní autoři: | , , |
|---|---|
| Médium: | Conference item |
| Vydáno: |
1996
|
| _version_ | 1826257384708767744 |
|---|---|
| author | Bell, M Limebeer, D Sargent, R |
| author_facet | Bell, M Limebeer, D Sargent, R |
| author_sort | Bell, M |
| collection | OXFORD |
| description | Receding horizon optimal control is a special case of model predictive control in which optimal controls are computed based on predicted process conditions over some suitable time horizon. The controls are regularly recomputed in light of new measurements from the plant or changes in predicted conditions. It is important to allow for state constraints in this computation and we present a new algorithm which deals with this problem for systems described by DAEs of any index. It is also important to take account of uncertainty in both the model and the predicted inputs and we discuss possible approaches to deal with this. |
| first_indexed | 2024-03-06T18:17:21Z |
| format | Conference item |
| id | oxford-uuid:0511baff-984c-4276-a547-673dd3edf59e |
| institution | University of Oxford |
| last_indexed | 2024-03-06T18:17:21Z |
| publishDate | 1996 |
| record_format | dspace |
| spelling | oxford-uuid:0511baff-984c-4276-a547-673dd3edf59e2022-03-26T08:55:11ZRobust receding horizon optimal controlConference itemhttp://purl.org/coar/resource_type/c_5794uuid:0511baff-984c-4276-a547-673dd3edf59eSymplectic Elements at Oxford1996Bell, MLimebeer, DSargent, RReceding horizon optimal control is a special case of model predictive control in which optimal controls are computed based on predicted process conditions over some suitable time horizon. The controls are regularly recomputed in light of new measurements from the plant or changes in predicted conditions. It is important to allow for state constraints in this computation and we present a new algorithm which deals with this problem for systems described by DAEs of any index. It is also important to take account of uncertainty in both the model and the predicted inputs and we discuss possible approaches to deal with this. |
| spellingShingle | Bell, M Limebeer, D Sargent, R Robust receding horizon optimal control |
| title | Robust receding horizon optimal control |
| title_full | Robust receding horizon optimal control |
| title_fullStr | Robust receding horizon optimal control |
| title_full_unstemmed | Robust receding horizon optimal control |
| title_short | Robust receding horizon optimal control |
| title_sort | robust receding horizon optimal control |
| work_keys_str_mv | AT bellm robustrecedinghorizonoptimalcontrol AT limebeerd robustrecedinghorizonoptimalcontrol AT sargentr robustrecedinghorizonoptimalcontrol |