Name
Abstract | ||
|---|---|---|
This paper is about economic model predictive control (EMPC), a modern receding horizon based control technique that minimizes at each sampling instance an economic objective on a moving horizon subject to a continuous-time model dynamics and, optionally, control and state constraints. The contribution of this paper is the introduction of a new type of terminal constraint and terminal cost, which allow us to enforce the asymptotic orbital stability of EMPC under reasonable assumptions on the controllability and well-posedness of the problem. We provide an associated orbital Lyapunov function that is employed for proving stability. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.automatica.2015.04.004 | Automatica |
Keywords | Field | DocType |
Optimal control,Model predictive control,Nonlinear systems | Lyapunov function,Mathematical optimization,Optimal control,Nonlinear system,Controllability,Control theory,Model predictive control,Horizon,Sampling (statistics),Orbital stability,Mathematics | Journal |
Volume | Issue | ISSN |
57 | C | 0005-1098 |
Citations | PageRank | References |
3 | 0.46 | 8 |
Authors | ||
1 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boris Houska | 1 | 214 | 26.14 |