000202632 001__ 202632
000202632 005__ 20190317000034.0
000202632 020__ $$a978-3-9524269-4-4
000202632 037__ $$aCONF
000202632 245__ $$aDirectional Real-Time Optimization Applied to a Kite-Control Simulation Benchmark
000202632 269__ $$a2015
000202632 260__ $$bIEEE$$c2015
000202632 336__ $$aConference Papers
000202632 520__ $$aThis 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.
000202632 6531_ $$aReal Time Optimization
000202632 6531_ $$aKite Power
000202632 6531_ $$aPath Following Control
000202632 700__ $$0242480$$aCostello, Sean$$g180311
000202632 700__ $$0242471$$aFrançois, Grégory$$g130352
000202632 700__ $$0240449$$aBonvin, Dominique$$g104596
000202632 7112_ $$aEuropean Control Conference$$cLinz, Austria$$dJuly 15-17, 2015
000202632 773__ $$q1588-1595$$t2015 European Control Conference (ECC 2015)
000202632 8564_ $$s453479$$uhttps://infoscience.epfl.ch/record/202632/files/Costello_ECC2015_revised_1.pdf$$yPreprint$$zPreprint
000202632 8564_ $$s428387$$uhttps://infoscience.epfl.ch/record/202632/files/LA_EPFL_ECC15_0699.pdf$$yn/a$$zn/a
000202632 909C0 $$0252053$$pLA
000202632 909CO $$ooai:infoscience.tind.io:202632$$pSTI$$pconf$$qGLOBAL_SET
000202632 917Z8 $$x180311
000202632 917Z8 $$x130352
000202632 917Z8 $$x180311
000202632 917Z8 $$x130352
000202632 937__ $$aEPFL-CONF-202632
000202632 973__ $$aEPFL$$rREVIEWED$$sPUBLISHED
000202632 980__ $$aCONF