Title
Directional Real-Time Optimization Applied To A Kite-Control Simulation Benchmark
Abstract
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 Costello1132.54
Gregory François2173.70
Dominique Bonvin313323.58