0460758 20240111140921.520160718235959.9 84992146004 000388376103095 10.1109/ACC.2016.7525460 6 s. C cav_un_epca*0460757978-1-4673-8681-4CFP16ACC-USB3527-3532BostonIEEE2016 nonlinear predictive control optimization algorithms system dynamics cav_un_auth*0281469 Pčolka M. CZ cav_un_auth*0101074 Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Čelikovský Sergej UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. odborný článek na konferenci 285 kB cav_un_auth*0292613 GA13-20433S GA ČR In this paper, maximization of efficiency of the penicillin production is addressed. To overcome the issues caused by the terminal time being an optimizable parameter, two adaptations of the Hamiltonian-based gradient method are proposed. The first algorithm incorporates the terminal time directly into the set of optimized variables while the second one makes use of a time scaling with optimizable time-dependent time scale being a virtual input. Both algorithms are verified on a set of numerical experiments and the obtained results show significant improvement of the penicillin production efficiency gained by their use, which suggests their exploitation within the industrial nonlinear predictive controllers for bioprocess optimization. cav_un_auth*0331565 The American Control Conference (ACC) 2016 06.07.2016-08.07.2016 Boston US BC 2017 2 PR RVO:67985556 http://hdl.handle.net/11104/0260951 cav_un_auth*0320924 Czech Technical University in Prague, Department of Control Engineering, Faculty of Electrical Engineering CTU FEE CZ S 3+4 Proceedings Paper Automation Control Systems 2016 84992146004 SCOPUS 000388376103095 WOS odborný článek na konferenci 285 kB cav_un_epca*0460757 Proceedings of the Americal Control Conference (ACC), Boston 2016 CFP16ACC-USB 978-1-4673-8681-4 3527 3532 Boston IEEE 2016