0378660 20240103201024.620120828235959.9 10.3182/20120711-3-BE-2027.00080 6 s. P cav_un_epca*0379871978-3-902823-06-9751-756BrusselsIFAC2012 fully probabilistic design fuel consumption minimization closed-loop control 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. http://library.utia.cas.cz/separaty/2012/AS/suzdaleva-fuel consumption optimization early experiments.pdf TA01030123 GA TA ČR cav_un_auth*0271776 The paper deals with a problem of fuel consumption optimization. Solutions existing in this field are mainly based on the various conceptual approaches such as hybrid and electric vehicles. However, it leads to high initial cost of a vehicle. The approach presented in this paper aims at conventional vehicles and is based on recursive algorithms of system identification and adaptive quadratic optimal control under Bayesian methodology. Experiments with real data measured on a driven vehicle are provided. cav_un_auth*0282287 16th IFAC Symposium on System Identification The International Federation of Automatic Control Brussels 11.07.2012-13.07.2012 BE 2013 BC 3 PR RVO:67985556 http://hdl.handle.net/11104/0210075 2012 cav_un_epca*0379871 Proceedings of the 16th IFAC Symposium on System Identification 978-3-902823-06-9 751 756 Brussels IFAC 2012