TY - JOUR AU - Bokor, József AU - Terdik, György TI - Order Selection for Stochastic Bilinear Systems JF - IFAC PAPERSONLINE J2 - IFACOL VL - 56 PY - 2023 IS - 2 SP - 5837 EP - 5842 PG - 6 SN - 2405-8963 DO - 10.1016/j.ifacol.2023.10.076 UR - https://m2.mtmt.hu/api/publication/34400065 ID - 34400065 LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Zoltán Béla AU - Bokor, József AU - Gáspár, Péter TI - A data based system representation JF - IFAC PAPERSONLINE J2 - IFACOL VL - 56 PY - 2023 IS - 2 SP - 5518 EP - 5524 PG - 7 SN - 2405-8963 DO - 10.1016/j.ifacol.2023.10.390 UR - https://m2.mtmt.hu/api/publication/34400063 ID - 34400063 LA - English DB - MTMT ER - TY - CHAP AU - Bokor, József AU - Szabó, Zoltán Béla TI - Parametrization and Identification of Dynamic Systems T2 - 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC) PB - IEEE CY - Piscataway (NJ) SN - 9781665481779 PY - 2022 SP - 000011 EP - 000018 PG - 8 DO - 10.1109/ICCC202255925.2022.9922770 UR - https://m2.mtmt.hu/api/publication/33342047 ID - 33342047 LA - English DB - MTMT ER - TY - JOUR AU - Rödönyi, Gábor AU - Beintema, G I AU - Tóth, Roland AU - Schoukens, M AU - Pup, Dániel AU - Kisari, Ádám AU - Vigh, Zsombor AU - Kőrös, Péter AU - Soumelidis, Alexandros AU - Bokor, József TI - Identification of the nonlinear steering dynamics of an autonomous vehicle JF - IFAC PAPERSONLINE J2 - IFACOL VL - 54 PY - 2021 IS - 7 SP - 708 EP - 713 PG - 6 SN - 2405-8963 DO - 10.1016/j.ifacol.2021.08.444 UR - https://m2.mtmt.hu/api/publication/32112845 ID - 32112845 LA - English DB - MTMT ER - TY - JOUR AU - Rödönyi, Gábor AU - Tóth, Roland AU - Pup, Dániel AU - Kisari, Ádám AU - Vigh, Zsombor AU - Kőrös, Péter AU - Bokor, József TI - Data-driven linear parameter-varying modelling of the steering dynamics of an autonomous car JF - IFAC PAPERSONLINE J2 - IFACOL VL - 54 PY - 2021 IS - 8 SP - 20 EP - 26 PG - 7 SN - 2405-8963 DO - 10.1016/j.ifacol.2021.08.575 UR - https://m2.mtmt.hu/api/publication/32112721 ID - 32112721 AB - Developing automatic driving solutions and driver support systems requires accurate vehicle specific models to describe and predict the associated motion dynamics of the vehicle. Despite of the mature understanding of ideal vehicle dynamics, which are inherently nonlinear, modern cars are equipped with a wide array of digital and mechatronic components that are difficult to model. Furthermore, due to manufacturing, each car has its personal motion characteristics which change over time. Hence, it is important to develop data-driven modelling methods that are capable to capture from data all relevant aspects of vehicle dynamics in a model that is directly utilisable for control. In this paper, we show how Linear Parameter-Varying (LPV) modelling and system identification can be applied to reliably capture personalised model of the steering system of an autonomous car based on measured data. Compared to other nonlinear identification techniques, the obtained LPV model is directly utilisable for powerful controller synthesis methods of the LPV framework. Copyright (C) 2021 The Authors. LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Zoltán Béla AU - Bokor, József AU - Gáspár, Péter TI - Generalised system level approach JF - IFAC PAPERSONLINE J2 - IFACOL VL - 54 PY - 2021 IS - 8 SP - 45 EP - 50 PG - 6 SN - 2405-8963 DO - 10.1016/j.ifacol.2021.08.579 UR - https://m2.mtmt.hu/api/publication/32114711 ID - 32114711 N1 - Funding Agency and Grant Number: Ministry of Innovation and Technology NRDI OfficeNational Research, Development & Innovation Office (NRDIO) - Hungary; National Research, Development and Innovation Office (NKFIH) under OTKA Grant Agreement [K 135512] Funding text: The research was supported by the Ministry of Innovation and Technology NRDI Office within the framework of the Autonomous Systems National Laboratory Program. The paper was partially funded by the National Research, Development and Innovation Office (NKFIH) under OTKA Grant Agreement No. K 135512. AB - Recently, system level approach has been proposed as a novel design tool for large-scale cyber physical systems in the discrete time LTI framework. The main idea of the new paradigm is a shift from constructing and parametrizing the desired optimal controller to the parametrization of the achievable closed loop behaviours (closed loop shape). Then, the controller is synthesised from the system level data in a way that keep the imposed structural constraints intact. In this paper we lift the main idea of the system level parametrization to a general level, that also includes the class of LPV systems. We also provide a general scheme for the realization related to different Mobius transforms which are formulated in terms of the original data and also keep intact the structural information. Copyright (C) 2021 The Authors. LA - English DB - MTMT ER - TY - CHAP AU - Bokor, József AU - Szabó, Zoltán Béla ED - Kovács, Levente ED - Haidegger, Tamás ED - Szakál, Anikó TI - State and Loop Equivalence for Linear Parameter Varying Systems T2 - Recent Advances in Intelligent Engineering : Volume Dedicated to Imre J. Rudas’ Seventieth Birthday PB - Springer Netherlands CY - Cham SN - 9783030143497 T3 - Topics in Intelligent Engineering and Informatics, ISSN 2193-9411 ; 14. PY - 2020 SP - 1 EP - 19 PG - 19 DO - 10.1007/978-3-030-14350-3_1 UR - https://m2.mtmt.hu/api/publication/31780582 ID - 31780582 LA - English DB - MTMT ER - TY - CHAP AU - Péni, Tamás AU - Vanek, Bálint AU - Lipták, György AU - Szabó, Zoltán Béla AU - Bokor, József ED - Monteriu, A ED - Freddi, A ED - Longhi, S TI - Nullspace-based input reconfiguration architecture for over-actuated aerial vehicles T2 - Fault Diagnosis and Fault-tolerant Control of Robotic and Autonomous Systems PB - Institution of Engineering and Technology (IET) CY - Stevenage SN - 9781785618314 PY - 2020 SP - 235 EP - 256 PG - 22 DO - 10.1049/PBCE126E_ch11 UR - https://m2.mtmt.hu/api/publication/31625774 ID - 31625774 LA - English DB - MTMT ER - TY - CHAP AU - Pup, Dániel AU - Kisari, Ádám AU - Vigh, Zsombor AU - Rödönyi, Gábor AU - Soumelidis, Alexandros AU - Bokor, József ED - Kiss, Bálint ED - Harmati, István ED - Taqvi, Z TI - Characterization of Model Uncertainty Features Relevant to Model Predictive Control of Lateral Vehicle Dynamics T2 - 2020 23rd International Symposium on Measurement and Control in Robotics (ISMCR) PB - IEEE CY - Piscataway (NJ) SN - 9781665404792 PY - 2020 SP - 1 EP - 4 PG - 4 DO - 10.1109/ISMCR51255.2020.9263745 UR - https://m2.mtmt.hu/api/publication/31722557 ID - 31722557 LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Zoltán Béla AU - Bokor, József TI - Feedback stabilization: the algebraic view JF - IFAC PAPERSONLINE J2 - IFACOL VL - 53 PY - 2020 IS - 2 SP - 4421 EP - 4427 PG - 7 SN - 2405-8963 DO - 10.1016/j.ifacol.2020.12.375 UR - https://m2.mtmt.hu/api/publication/31386198 ID - 31386198 LA - English DB - MTMT ER -