0387924 20240111140826.220130122235959.9 8 s. C cav_un_epca*0387923978-0-88986-941-7100-107ColumboIASTED2012 control servo problem fuel consumption optimization cav_un_auth*0108105 Suzdaleva Evgenia Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101175 Pavelková Lenka Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Adaptive Systems Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0274528 Mlynářová Tereza Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2013/AS/suzdaleva-servo problem within fuel consumption optimization.pdf TA01030123 GA TA ČR cav_un_auth*0271776 The presented paper deals with a problem of fuel consumption optimization. Today's automotive industry solves this problem mainly via various conceptual approaches (hybrid and electric vehicles). However, it leads to high initial cost of a vehicle. This paper focuses on fuel economy for conventional vehicles. For this aim, recursive algorithms of adaptive optimal quadratic control under Bayesian methodology are used. A stochastic servo problem, including set-point tracking, is a part of the considered adaptive control design. In this paper, fuel consumption and speed of a driven vehicle are the controlled variables, where the first one is to be optimized and the second one is pushed to track its set-point. This set-point is a recommended road-dependent speed. Experiments with real data measured on a driven vehicle are provided. cav_un_auth*0288301 The IASTED International Conference on Engineering and Applied Science Columbo 27.12.2012-29.12.2012 LK 2013 BC 4 PR http://hdl.handle.net/11104/0217168 2012 pdf cav_un_epca*0387923 Proceedings of the IASTED International Conference on Engineering and Applied Science 978-0-88986-941-7 100 107 Columbo IASTED 2012