Name
Abstract | ||
|---|---|---|
This paper proposes a disturbance-based control parametrization under the Model Predictive Control framework for constrained linear discrete time systems with bounded additive disturbances. The proposed approach has the same feasible domain as that obtained from parametrization over the family of time-varying state feedback policies. In addition, the closed-loop system is stable in the sense that the state converges to a bounded set that has a characterization determined by a feedback gain. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.automatica.2008.02.011 | Automatica |
Keywords | Field | DocType |
Model predictive control,Disturbance feedback,Constrained systems with disturbances | Convergence (routing),Linear system,Parametrization,Control theory,Bounded set,Model predictive control,Discrete time and continuous time,Time complexity,Mathematics,Bounded function | Journal |
Volume | Issue | ISSN |
44 | 10 | 0005-1098 |
Citations | PageRank | References |
6 | 0.52 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen Wang | 1 | 14 | 2.03 |
| Chong-Jin Ong | 2 | 716 | 56.26 |
| Melvyn Sim | 3 | 1909 | 117.68 |