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Citácie

  • Celkový počet citácií       43

Z. Kovacs – J. Števek – M. Fikar – P. Czermak: Kinetic behavior of soluble Pectinex Ultra SP-L converting sucrose into fructo-oligosaccharides in batch and continuous fashion. Progress in Agricultural Engineering Sciences, č. 1, zv. 16, str. 81–97, 2020.
  • Počet citácií       1
  • Guerra, Laureana – Ureta, Micaela – Romanini, Diana – Woitovich, Nadia – Gomez-Zavaglia, Andrea – Clementz, Adriana: Enzymatic synthesis of fructooligosaccharides: From carrot discards to prebiotic juice. Food Research International, č. 112991, zv. 170, 2023.
J. Števek – M. KvasnicaM. Fikar – A. Gomola: A Parametric Programming Approach to Automated Integrated Circuit Design. IEEE Transactions on Control Systems Technology, č. 4, zv. 26, str. 1180–1191, 2018.
  • Počet citácií       1
  • Kouhalvandi, Lida – Ceylan, Osman – Ozoguz, Serdar: Optimization techniques for analog and RF circuit designs: an overview. Analog Integrated Circuits and Signal Processing, č. 3, zv. 106, str. 511-524, 2021.
B. Takács – J. Števek – R. Valo – M. Kvasnica: Python Code Generation for Explicit MPC in MPT. V European Control Conference 2016, Aalborg, Denmark, str. 1328–1333, 2016.
  • Počet citácií       8
  • Zhang, J. – Xiu, X.: K-d tree based approach for point location problem in explicit model predictive control. Journal of the Franklin Institute, č. 13, zv. 355, str. 5431-5451, 2018.
  • Scaglioni, Bruno – Previtera, Luca – Martin, James – Norton, Joseph – Obstein, Keith L. – Valdastri, Pietro: Explicit Model Predictive Control of a Magnetic Flexible Endoscope. IEEE Robotics and Automation Letters, č. 2, zv. 4, str. 716-723, 2019.
  • Jin, Y. – Han, S. – Lee, S.: Implementation of Tracking Control System for Autonomous Mobile Robot based on State Estimation with Multi-sensor. Transactions of the Korean Institute of Electrical Engineers, č. 5, zv. 68, str. 678-684, 2019.
  • Drgoňa, Ján – Kiš, Karol – Tuor, Aaron – Vrabie, Draguna – Klauco, Martin: Differentiable Predictive Control: An MPC Alternative for Unknown Nonlinear Systems using Constrained Deep Learning, 2020.
  • Bezerra, Sandy – Cordeiro, Matheus – Rocha, Atslands – Delicato, Flávia: Fusão Hierárquica de Dados para Sistemas de Computação em Névoa, 2020.
  • H. {Fukumoto} – T. {Yamaguchi} – M. {Ishibashi} – T. {Furukawa}: Developing a Remote Laboratory System of Stepper Motor for Learning Support. IEEE Transactions on Education, str. 1-7, 2020.
  • Papadimitriou, A. – Andrikopoulos, G. – Nikolakopoulos, G.: Experimental Evaluation of an Explicit Model Predictive Controller for an Adhesion Vortex Actuated Climbing Robot. V Proceedings of the American Control Conference, str. 2137-2142, 2020.
  • Papadimitriou, A. – Andrikopoulos, G. – Nikolakopoulos, G.: On the Optimal Adhesion Control of a Vortex Climbing Robot. Journal of Intelligent and Robotic Systems: Theory and Applications, č. 3, zv. 102, 2021.
J. Števek – M. Fikar: Teaching aids for laboratory experiments with AR.Drone2 quadrotor. V Preprints of the 11th IFAC Symposium on Advances in Control Education, zv. 11, str. 236–241, 2016.
  • Počet citácií       8
  • Noordin, A. – Basri, M.A.M. – Mohamed, Z.: Sensor fusion algorithm by complementary filter for attitude estimation of quadrotor with low-cost IMU. Telkomnika (Telecommunication Computing Electronics and Control), č. 2, zv. 16, str. 868-875, 2018.
  • Noordin, A. – Basri, M.A.M. – Mohamed, Z.: Sliding mode control for altitude and attitude stabilization of quadrotor UAV with external disturbance. Indonesian Journal of Electrical Engineering and Informatics, č. 2, zv. 7, str. 203-210, 2019.
  • Chovancova, Anezka – Fico, Tomas – Duchon, Frantisek – Dekan, Martin – Chovanec, Lubos – Dekanova, Martina: Control Methods Comparison for the Real Quadrotor on an Innovative Test Stand. Applied Sciences-Basel, č. 6, zv. 10, 2020.
  • Bnhamdoon, O.A.A. – Mohamad Hanif, N.H.H. – Akmeliawati, R.: Identification of a quadcopter autopilot system via Box–Jenkins structure. International Journal of Dynamics and Control, č. 3, zv. 8, str. 835-850, 2020.
  • Noordin, A. – Mohd Basri, M.A. – Mohamed, Z. – Mat Lazim, I.: Adaptive PID Controller Using Sliding Mode Control Approaches for Quadrotor UAV Attitude and Position Stabilization. Arabian Journal for Science and Engineering, č. 2, zv. 46, str. 963-981, 2021.
  • Felix-Herran, Luis C. – Izaguirre-Espinosa, Carlos – Parra-Vega, Vicente – Sanchez-Orta, Anand – Benitez, Victor H. – Lozoya-Santos, Jorge de-J.: A Challenge-Based Learning Intensive Course for Competency Development in Undergraduate Engineering Students: Case Study on UAVs. Electronics, č. 9, zv. 11, 2022.
  • Luque-Vega, Luis F. – Lopez-Neri, Emmanuel – Arellano-Muro, Carlos A. – Gonzalez-Jimenez, Luis E. – Ghommam, Jawhar – Saad, Maarouf – Carrasco-Navarro, Rocio – Ruiz-Cruz, Riemann – Guerrero-Osuna, Hector A.: UAV-Based Smart Educational Mechatronics System Using a MoCap Laboratory and Hardware-in-the-Loop. Sensors, č. 15, zv. 22, 2022.
  • Noordin, A. – Basri, M.A.M. – Mohamed, Z.: Fuzzy Logic Control for Quadrotor Micro-aerial Vehicle Altitude and Attitude Stabilization. Lecture Notes in Electrical Engineering, zv. 834, str. 357-363, 2022.
J. Števek – S. Katuščák – M. Fikar – L. Dubinyová: An automatic identification of wood materials from color images. Editor(i): J. Cigánek (SK), Š. Kozák (SK), A. Kozáková (SK),, V 2016 Cybernetics & Informatics (K&I), 28th International Conference, Levoča, zv. 28, 2016.
  • Počet citácií       6
  • Wang, J. – Xiong, J. – Chen, X. – Jiang, H. – Balan, R.K. – Fang, D.: TagScan: Simultaneous target imaging and material identification with commodity RFID devices. V Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM, str. 288-300, 2017.
  • Feng, C. – Xiong, J. – Chang, L. – Wang, J. – Chen, X. – Fang, D. – Tang, Z.: WiMi: Target material identification with commodity Wi-Fi devices. V Proceedings - International Conference on Distributed Computing Systems, str. 700-710, 2019.
  • Zheng, Chuyuan – Nettleship, Ian: The potential for materials informatics in the development of non-conventional materials. V Nonconventional and Vernacular Construction Materials: Characterisation, Properties and Applications, 2nd Edition, str. 131-140, 2020.
  • Zhuang, Zilong – Liu, Ying – Ding, Fenglong – Wang, Zhengguang: Online Color Classification System of Solid Wood Flooring Based on Characteristic Features. Sensors, č. 2, zv. 21, 2021.
  • Li, C. – Li, F. – Du, W. – Yin, L. – Wang, B. – Wang, C. – Luo, T.: A material identification approach based on Wi-Fi signal. Computers, Materials and Continua, č. 3, zv. 69, str. 3383-3397, 2021.
  • Zhang, Jie – Zhou, Kexin: Identification of Solid and Liquid Materials Using Acoustic Signals and Frequency-Graph Features. Entropy, č. 8, zv. 25, 2023.
B. Takács – J. Holaza – J. Števek – M. Kvasnica: Export of Explicit Model Predictive Control to Python. Editor(i): M. Fikar and M. Kvasnica, V Proceedings of the 20th International Conference on Process Control, Slovak Chemical Library, Štrbské Pleso, Slovakia, str. 78–83, 2015.
  • Počet citácií       5
  • Sahin, A. – Atici, E. – Kumbasar, T.: Type-2 fuzzified flappy bird control system. V 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016, str. 1578-1583, 2016.
  • Garzon, E. – Sanchez, F. – Procel, L.-M. – Trojman, L.: Remote control of VNA and parameter analyzer for RFCV measurements using Python. V Proceedings of the 2016 IEEE ANDESCON, ANDESCON 2016, 2017.
  • Piper, M. – Bhounsule, P.A. – Castillo-Villar, K.K.: How to beat flappy bird∗: A mixed-integer model predictive control approach. V ASME 2017 Dynamic Systems and Control Conference, DSCC 2017, 2017.
  • Sahin, A. – Kumbasar, T.: Type-2 fuzzy logic control in computer games. Studies in Fuzziness and Soft Computing, zv. 362, str. 105-127, 2018.
  • Chih, Hsin-Ching – Huang, Wei-Tzer – Yao, Kai-Chao: Fluorescent Lamp Effect Correction on Capacitive Touch Panel by Timely Update Predicted Covariance Matrix. IEEE Transactions on Industrial Electronics, č. 7, zv. 66, str. 5508-5515, 2019.
J. Števek – M. KvasnicaM. Fikar: Towards a dominant-polytope complexity reduction in Explicit MPC. Editor(i): Fikar, M., Kvasnica, M., V Proceedings of the 19th International Conference on Process Control, Slovak University of Technology in Bratislava, Štrbské Pleso, Slovakia, str. 124–129, 2013.
  • Počet citácií       4
  • Oberdieck, R. – Diangelakis, N.A. – Nascu, I. – Papathanasiou, M.M. – Sun, M. – Avraamidou, S. – Pistikopoulos, E.N.: On multi-parametric programming and its applications in process systems engineering. Chemical Engineering Research and Design, zv. 116, str. 61-82, 2016.
  • Zhang, Ju – Xiu, Xiaojie: K-d tree based approach for point location problem in explicit model predictive control. Journal of the Franklin Institute-engineering and Applied Mathematics, č. 13, zv. 355, str. 5431-5451, 2018.
  • Dantas, Amanda D. O. S. – Dantas, Andre F. O. A. – Almeida, Tulio F. D. – Dorea, Carlos E. T.: Design of reduced complexity controllers for linear systems under constraints using data cluster analysis. International Journal of Systems Science, č. 14, zv. 51, str. 2533-2548, 2020.
  • Xiu, Xiaojie – Zhang, Ju: Grid k-d tree approach for point location in polyhedral data sets - application to explicit MPC. International Journal of Control, č. 4, zv. 93, str. 872-880, 2020.
J. Števek – A. Szűcs – M. KvasnicaM. Fikar – Š. Kozák: Two steps piecewise affine identification of nonlinear systems. Archives of Control Sciences, č. 4, zv. 22, str. 371–388, 2012.
  • Počet citácií       3
  • Zhuge, Jinjun – Ierapetritou, Marianthi G.: An integrated framework for scheduling and control using fast model predictive control. Aiche Journal, č. 10, zv. 61, str. 3304-3319, 2015.
  • Winkler, S. – Körner, A. – Breitenecker, F.: Modelling framework for artificial hybrid dynamical systems. Nonlinear Analysis: Hybrid Systems, č. 101072, zv. 42, 2021.
  • Alimardani, F. – Baras, J.S.: PWA-CTM: An Extended Cell-Transmission Model based on Piecewise Affine Approximation of the Fundamental Diagram. V 2022 30th Mediterranean Conference on Control and Automation, MED 2022, str. 1059-1065, 2022.
J. Števek – A. Szűcs – M. Kvasnica – Š. Kozák – M. Fikar: Smart technique for identifying hybrid systems. Editor(i): Anikó Szakál, V Proceedings of IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, IEEE, zv. 10, str. 383–388, 2012.
  • Počet citácií       3
  • Lopes, Renato Vilela: D EVELOPMENT OF NEW METHODOLOGIES BASED IN CLUSTERING FOR IDENTIFICATION OF HYBRID DINAMIC SYSTEMS IN STATE SPACE FORMS. 2014.
  • Kumtepeli, V. – Zhao, Y. – Naumann, M. – Tripathi, A. – Wang, Y. – Jossen, A. – Hesse, H.: Design and analysis of an aging-aware energy management system for islanded grids using mixed-integer quadratic programming. International Journal of Energy Research, č. 9, zv. 43, str. 4127-4147, 2019.
  • Winkler, S. – Körner, A. – Breitenecker, F.: Modelling framework for artificial hybrid dynamical systems. Nonlinear Analysis: Hybrid Systems, č. 101072, zv. 42, 2021.
J. Števek – Š. Kozák: Improved Piecewise Linear Approximation of Nonlinear Functions in Hybrid Control. V Proceedings of the 18th World Congress of the International Federation of Automatic Control, Milan, Italy, str. 14982–14987, 2011.
  • Počet citácií       2
  • Szucs,A. – Kvasnica,M. – Fikar,M.: Optimal piecewise affine approximations of nonlinear functions obtained from measurements. V IFAC Proceedings Volumes (IFAC-PapersOnline), str. 160-165, 2012.
  • Núñez, A. – De Schutter, B. – Sáez, D. – Škrjanc, I.: Hybrid-fuzzy modeling and identification. Applied Soft Computing Journal, zv. 17, str. 67-78, 2014.
J. Števek – Š. Kozák: Application of Hybrid Modeling and Control for Air-Handling Unit. International Review of Automatic Control, č. 3, zv. 3, str. 317–323, 2010.
  • Počet citácií       2
  • Piasecki, J. S. – Zohdy, M. A.: Robust hybrid complex motion control using fuzzy logic, inverse dynamic and PID-Q controllers. International Review of Automatic Control, č. 1, zv. 6, str. 19-28, 2013.
  • Hammi, Y. – Zanzouri, N. – Ksouri, M.: Active fault tolerant control of multivariable hybrid system. International Review of Automatic Control, č. 2, zv. 5, str. 218-224, 2012.
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