Name
Title | ||
|---|---|---|
An output feedback robust model predictive controller design based on quasi-min max algorithm |
Abstract | ||
|---|---|---|
In this paper, a new output feedback robust model predictive controller (RMPC) for polytopic uncertain systems is developed using quasi min-max algorithm. The new formulation involves using an augmented system description based on state estimates and uncertain estimation errors. The design method yields new linear matrix inequality conditions for the augmented system, which guarantee the robust stability of closed-loop system with control input constraint in strict mathematical manner. The proposed algorithm does not need any offline calculations. The effectiveness of the algorithm is illustrated in an example. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ACC.2009.5160156 | ACC'09 Proceedings of the 2009 conference on American Control Conference |
Keywords | DocType | ISSN |
quasi min-max algorithm,new formulation,predictive controller design,augmented system,output feedback robust model,new output feedback,new linear matrix inequality,quasi-min max algorithm,robust model,proposed algorithm,augmented system description,polytopic uncertain system,closed-loop system,predictive models,predictive control,robustness,algorithm design and analysis,linear matrix inequality,optimization,feedback,design methodology,mathematical model,robust control,stability,design method | Conference | 0743-1619 E-ISBN : 978-1-4244-4524-0 |
ISBN | Citations | PageRank |
978-1-4244-4524-0 | 1 | 0.34 |
References | Authors | |
9 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. H. Zibaeenejad | 1 | 1 | 0.34 |
| Vahid Johari Majd | 2 | 154 | 15.51 |