0394325 20240111140832.720130919235959.9 6 s. C cav_un_epca*0394320978-3-9524173-4-84442-4447CurichIEEE2013 Optimal control feedback control optimization cav_un_auth*0281469 Pčolka M. CZ cav_un_auth*0101074 Čelikovský Sergej Teorie řízení Department of Control Theory TŘ TR UTIA-B Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. textový dokument 420 kB LG12016 GA MŠk CZ cav_un_auth*0281705 GA13-20433S GA ČR cav_un_auth*0292613 This paper presents continuous-time optimal control of penicillin production maximizing penicillin concentration at chosen final time. First, control input parametrization is performed and the input is expressed as a piece-wise affine function of continuous time reducing the number of optimizable parameters. Then, iterative numerical gradient optimization with the initial conditions corresponding to the optimal input obtained by projected gradient optimization is used to find the optimal values of the optimized parameters. The proposed approach is compared to both the original gradient method and the traditionally used classical nonlinear feedback controller. All these strategies are tested on a set of numerical experiments for various cultivation lengths and the results are evaluated and discussed. The comparison reveals significant superiority of the proposed algorithm. cav_un_auth*0292545 The European Control Conference 2013 (ECC) Curich 17.06.2013-19.06.2013 CH 2014 BC 2 PR RVO:67985556 http://hdl.handle.net/11104/0223783 2013 textový dokument 420 kB cav_un_epca*0394320 Proceedings of the European Control Conference 2013 (ECC) 978-3-9524173-4-8 4442 4447 Curich IEEE 2013