Abstract | ||
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This paper applies a novel two-layer optimizing control scheme to a kite-control benchmark problem. The upper layer is a recent real-time optimization algorithm, called Directional Modifier Adaptation, which represents a variation of the popular Modifier Adaptation algorithm. The lower layer consists of a path-following controller that can follow arbitrary paths. Application to a challenging benchmark scenario in simulation shows that this two-layer scheme is capable of substantially improving the performance of a complex system affected by significant stochastic disturbances, measurement noise and plant-model mismatch, while respecting operational constraints. |
Year | Venue | Keywords |
---|---|---|
2015 | 2015 EUROPEAN CONTROL CONFERENCE (ECC) | noise measurement,stochastic processes,optimization,benchmark testing,convergence,mathematical model |
Field | DocType | Citations |
Convergence (routing),Control theory,Mathematical optimization,Noise measurement,Control theory,Stochastic process,Kite,Optimization algorithm,Engineering,Benchmark (computing) | Conference | 4 |
PageRank | References | Authors |
0.65 | 5 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sean Costello | 1 | 13 | 2.54 |
Gregory François | 2 | 17 | 3.70 |
Dominique Bonvin | 3 | 133 | 23.58 |