Name
Abstract | ||
|---|---|---|
In this work, we focus on the problem of stabilization of two constrained linear systems coupled through the inputs by two different agents which communicate in order to take a decision assuming that each agent only has partial information of the model and the state of the system. We extend previous results on distributed model predictive control and provide sufficient conditions that guarantee practical stability of the closed-loop system as well as an optimization based procedure to design the controller so that these conditions are satisfied. The theoretical results and the design procedure are illustrated through a simulation example. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CDC.2009.5400588 | PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009) |
Keywords | Field | DocType |
trajectory,robustness,cost function,stability,data mining,predictive control,satisfiability,game theory,linear system,chebyshev approximation,stability analysis,linear systems | Mathematical optimization,Control theory,Linear system,Computer science,Control theory,Model predictive control,Approximation theory,Robustness (computer science),Game theory,Distributed model predictive control,Trajectory | Conference |
ISSN | Citations | PageRank |
0743-1546 | 4 | 0.53 |
References | Authors | |
9 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. M. Maestre | 1 | 52 | 4.62 |
| David Muñoz de la Peña | 2 | 293 | 24.98 |
| Eduardo F. Camacho | 3 | 169 | 25.28 |