Efficient constrained model predictive control with asymptotic optimality
We describe an efficiently computed suboptimal control law which is exponentially stabilizing in the presence of constraints and which converges asymptotically to the conditions for constrained optimality with respect to the receding horizon optimization. The free parameters in input predictions are...
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| Formato: | Conference item |
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2002
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| _version_ | 1826262538517479424 |
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| author | Cannon, M Kouvaritakis, B IEEE IEEE |
| author_facet | Cannon, M Kouvaritakis, B IEEE IEEE |
| author_sort | Cannon, M |
| collection | OXFORD |
| description | We describe an efficiently computed suboptimal control law which is exponentially stabilizing in the presence of constraints and which converges asymptotically to the conditions for constrained optimality with respect to the receding horizon optimization. The free parameters in input predictions are adapted online on the basis of the gradient of the predicted performance index and the boundary of the admissible set for an autonomous prediction system. A differential description of the admissible set boundary enables efficient detection of active constraints. |
| first_indexed | 2024-03-06T19:37:47Z |
| format | Conference item |
| id | oxford-uuid:1fa0630b-aec8-4f2b-9b52-5ff3d747d7c3 |
| institution | University of Oxford |
| last_indexed | 2024-03-06T19:37:47Z |
| publishDate | 2002 |
| record_format | dspace |
| spelling | oxford-uuid:1fa0630b-aec8-4f2b-9b52-5ff3d747d7c32022-03-26T11:22:55ZEfficient constrained model predictive control with asymptotic optimalityConference itemhttp://purl.org/coar/resource_type/c_5794uuid:1fa0630b-aec8-4f2b-9b52-5ff3d747d7c3Symplectic Elements at Oxford2002Cannon, MKouvaritakis, BIEEEIEEEWe describe an efficiently computed suboptimal control law which is exponentially stabilizing in the presence of constraints and which converges asymptotically to the conditions for constrained optimality with respect to the receding horizon optimization. The free parameters in input predictions are adapted online on the basis of the gradient of the predicted performance index and the boundary of the admissible set for an autonomous prediction system. A differential description of the admissible set boundary enables efficient detection of active constraints. |
| spellingShingle | Cannon, M Kouvaritakis, B IEEE IEEE Efficient constrained model predictive control with asymptotic optimality |
| title | Efficient constrained model predictive control with asymptotic optimality |
| title_full | Efficient constrained model predictive control with asymptotic optimality |
| title_fullStr | Efficient constrained model predictive control with asymptotic optimality |
| title_full_unstemmed | Efficient constrained model predictive control with asymptotic optimality |
| title_short | Efficient constrained model predictive control with asymptotic optimality |
| title_sort | efficient constrained model predictive control with asymptotic optimality |
| work_keys_str_mv | AT cannonm efficientconstrainedmodelpredictivecontrolwithasymptoticoptimality AT kouvaritakisb efficientconstrainedmodelpredictivecontrolwithasymptoticoptimality AT ieee efficientconstrainedmodelpredictivecontrolwithasymptoticoptimality AT ieee efficientconstrainedmodelpredictivecontrolwithasymptoticoptimality |