Title | ||
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Distributed model predictive control of dynamically decoupled linear systems with coupled cost |
Abstract | ||
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This paper considers the distributed model predictive control of a number of interacting subsystems with decoupled dynamics and constraints but coupled overall cost. This paper introduces a constraint to ensure asymptotic stability of the overall system with no disturbances. When additive disturbances are present, the state of each system converges to the minimal disturbance invariant set of each individual system. The approach is demonstrated via several numerical examples. |
Year | DOI | Venue |
---|---|---|
2009 | 10.1109/CDC.2009.5400521 | CDC |
Keywords | Field | DocType |
asymptotic stabiity,distributed model predictive control,interacting subsystems,asymptotic stability,invariance,dynamically decoupled linear systems,set theory,linear systems,disturbance invariant set,predictive control,linear system,trajectory,data mining,cost function,predictive models | Set theory,Mathematical optimization,Invariant (physics),Linear system,Computer science,Control theory,Model predictive control,Exponential stability,Invariant (mathematics),Distributed model predictive control,Trajectory | Conference |
ISSN | ISBN | Citations |
0191-2216 E-ISBN : 978-1-4244-3872-3 | 978-1-4244-3872-3 | 1 |
PageRank | References | Authors |
0.39 | 12 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chen Wang | 1 | 14 | 2.03 |
Chong-Jin Ong | 2 | 716 | 56.26 |
Melvyn Sim | 3 | 1909 | 117.68 |