000169728 001__ 169728
000169728 005__ 20190812205539.0
000169728 037__ $$aCONF
000169728 245__ $$aAlternative parameterisations for predictive control: How and why?
000169728 269__ $$a2011
000169728 260__ $$c2011
000169728 336__ $$aConference Papers
000169728 520__ $$aThis paper looks at the efficiency of the parame- terisation of the degrees of freedom within an optimal predictive control algorithm. It is shown that the conventional approach of directly determining each individual future control move is not efficient in general, and can give poor feasibility when the number of degrees of freedom are limited. Two systematic alternatives are explored and both shown to be far more efficient in general.
000169728 700__ $$aValencia-Palomo, G.
000169728 700__ $$aRossiter, J. A.
000169728 700__ $$0246471$$g207237$$aJones, Colin
000169728 700__ $$aGondhalekar, Ravi
000169728 700__ $$aKhan, B.
000169728 7112_ $$dJune, 2011$$cSan Francisco, California, USA$$aAmerican Control Conference
000169728 773__ $$tProceeding of the American Control Conference
000169728 8564_ $$zPreprint$$yPreprint$$uhttps://infoscience.epfl.ch/record/169728/files/2011ACC_0253_FI.pdf$$s170741
000169728 909C0 $$pLA$$0252053
000169728 909CO $$pSTI$$ooai:infoscience.tind.io:169728$$qGLOBAL_SET$$pconf
000169728 917Z8 $$x207237
000169728 937__ $$aEPFL-CONF-169728
000169728 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000169728 980__ $$aCONF