0509029 20241106135747.920191001235959.9 85082687274 000504302900010 10.1016/j.ifacol.2019.12.144 6 s. P cav_un_epca*05188702405-896349-54AmsterdamElsevier2019 Nonlinear control Large-scale systems control Quantization cav_un_auth*0216347 Rehák Branislav UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0215855 Lynnyk Volodymyr UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. konferenční příspěvek https://doi.org/10.1016/j.ifacol.2019.12.144 302,54 KB cav_un_auth*0376352 GA19-05872S GA ČR CZ Stabilization of a nonlinear large scale interconnected system is investigated. The system is linearized by the exact feedback linearization, then a procedure to reduce the complexity of the system is applied. This allows to fi nd a controller for the linearized problem as a solution of an optimization problem whose dimension is equal to the dimension of one subsystem. The quantization of the control signal brings some uncertainty, hence the controller design is proposed with the necessary degree of robustness. The inverse transformation yields than a controller for the original nonlinear system. The design method is illustrated by an example. cav_un_auth*0380615 IFAC Workshop on Distributed Estimation and Control in Networked Systems, NecSys 2019 /18./ 20190916 20190917 Chicago US BC 20000 20200 20205 2020 2 4 A sml 4as 20241106135747.9 PR RVO:67985556 http://hdl.handle.net/11104/0299841 S Copyright 20190730 COPYRIGHT AGREEMENT 3+4 Article|Proceedings Paper Engineering Mechanical|Materials Science Characterization Testing 0.260 Q3 2019 Soubory v repozitáři: rehak-0509029-CopyrightForm_18.pdf 85082687274 SCOPUS PUBMED 000504302900010 WOS konferenční příspěvek 302,54 KB cav_un_epca*0518870 IFAC-PapersOnLine. Volume 52, Issue 20 - Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems, Chicago, IL, USA 2019 2405-8963 49 54 Amsterdam Elsevier 2019