0393380 20240111140832.020140314235959.9 6 s. P cav_un_epca*0426837978-3-902823-37-31474-6670305-310CaenInternational Federation of Automatic Control2013 Control applications closed-loop control adaptive systems fuel 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. 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-double optimization of fuel consumption and speed tracking.pdf TA01030123 GA TA ČR cav_un_auth*0271776 TA01030603 GA TA ČR cav_un_auth*0272526 This paper presents automatic fuel consumption optimization with simultaneous keeping the recommended vehicle's speed. These tasks are closely related since a simple minimization of fuel consumption leads to stopping a vehicle. The proposed ``double'' optimization is performed online using combination of two controllers. The first of them is based on fully probabilistic design (FPD) under Bayesian methodology. It optimizes the ``driver-vehicle'' closed loop with the aim to save fuel and keep the recommended speed, using externally given setpoints. Optimized values serve as setpoints for PID controller, which provides necessary setpoint tracking. cav_un_auth*0292326 IFAC International Workshop on Adaptation and Learning in Control and Signal Processing /11./ (2013) Caen 03.07.2013-05.07.2013 FR 2014 BC 4 PR http://hdl.handle.net/11104/0222415 S 2013 pdf cav_un_epca*0426837 Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing 978-3-902823-37-3 1474-6670 305 310 Caen International Federation of Automatic Control 2013