Name
Abstract | ||
|---|---|---|
In this paper we are interested in the computation of feasible sets for linear model predictive control techniques, based on set relations and not on the conventional orthogonal projection. Further, the problem of computing suitable inner approximations of the feasible sets is considered. Such approximations are characterized by simpler polytopic representations, and preserve essential properties as convexity, positive invariance, inclusion of the set of expected initial states. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.automatica.2010.10.022 | Automatica |
Keywords | Field | DocType |
Shape description,Polyhedral sets,Piecewise linear controllers,Predictive control | Mathematical optimization,Convexity,Invariant (physics),Orthographic projection,Control theory,Linear model,Model predictive control,Polyhedron,Polytope,Mathematics,Computation | Journal |
Volume | Issue | ISSN |
47 | 1 | 0005-1098 |
Citations | PageRank | References |
8 | 0.64 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Scibilia | 1 | 9 | 1.03 |
| Sorin Olaru | 2 | 267 | 47.10 |
| Morten Hovd | 3 | 82 | 16.07 |