Name
Title | ||
|---|---|---|
A new approach to stability analysis for constrained finite receding horizon control without end constraints |
Abstract | ||
|---|---|---|
We present a new approach to the stability analysis of finite receding horizon control applied to constrained linear systems. By relating the final predicted state to the current state through a bound on the ter- minal cost, it is shown that knowledge of upper and lower bounds for the finite horizon costs is sufficient to determine the stability of a receding horizon controller. This analysis is valid for receding horizon schemes with arbitrary positive-definite terminal weights and does not rely on the use of stabilizing constraints. The result is a computable test for stability, and two simple examples are used to illustrate its application. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/9.871760 | IEEE Trans. Automat. Contr. |
Keywords | Field | DocType |
Stability analysis,Costs,Control systems,Linear systems,Predictive control,Infinite horizon,Testing,Predictive models,Constraint optimization,Automatic control | Mathematical optimization,Control theory,Linear system,Control theory,Upper and lower bounds,Horizon,Model predictive control,Finite horizon,Mathematics | Journal |
Volume | Issue | ISSN |
45 | 8 | 0018-9286 |
Citations | PageRank | References |
10 | 1.23 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. A. Primbs | 1 | 78 | 15.95 |
| V. Nevistic | 2 | 68 | 14.02 |