Name
Title | ||
|---|---|---|
Finitely Parameterised Implementation of Receding Horizon Control For Constrained Linear Systems |
Abstract | ||
|---|---|---|
Recent work by the authors has provided a finitely parameterised characterisation of receding horizon control (RHC) for linear models with quadratic per- formance indexand linear constraints. Using a closed-form solution to quadratic programming, we have expressed the RHC law via a "look-up table" consisting of a partition of the state space into re- gions in which the corresponding control law has an explicit form. This paper investigates numeri- cal properties of the table look-up implementation of the RHC solution and compares its performance with traditional methods for on-line optimisation (such as active constraint methods for quadratic programming). Issues that we consider include com- putation times, code complexity and data storage. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ACC.2002.1025356 | American Control Conference, 2002. Proceedings of the 2002 |
Keywords | DocType | Volume |
linear system,open loop systems,memory,optimal control,predictive control,control systems,linear model,quadratic programming,data storage,linear systems,code complexity,linear models,closed form solution,performance index,quadratic program,look up table,state space,constraint optimization | Conference | 6 |
ISSN | Citations | PageRank |
0743-1619 | 3 | 1.21 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mar ´ ia | 1 | 6 | 1.97 |
| Goodwin, G.C. | 2 | 3 | 1.21 |
| Graham C. Goodwin | 3 | 899 | 172.24 |