Detail kontaktu

Pekař, L., Matušů, R., Song, M., Kuklišová Pavelková, L., & Gao, Q. (2023). Asymmetric System Model Parameters Identification Framework via Relay Feedback. IEEE Access, 11(August), 82257-82275. doi: 10.1109/ACCESS.2023.3301181

Kuklišová Pavelková, L., Jirsa, L., & Quinn, A. (2022). Fully probabilistic design for knowledge fusion between Bayesian filters under uniform disturbances. Knowledge-Based Systems, 238(28 February 2022), 107879. doi: 10.1016/j.knosys.2021.107879

Kuklišová Pavelková, L., & Jirsa, L. (2017). Recursive Bayesian estimation of autoregressive model with uniform noise using approximation by parallelotopes. International Journal of Adaptive Control and Signal Processing, 31(8), 1184--1192. doi: 10.1002/acs.2756

Kuklišová Pavelková, L., & Kárný, M. (2014). State and parameter estimation of state-space model with entry-wise correlated uniform noise. International Journal of Adaptive Control and Signal Processing, 28(11), 1189-1205. doi: 10.1002/acs.2438

Kuklišová Pavelková, L. (2011). Nonlinear Bayesian state filtering with missing measurements and bounded noise and its application to vehicle position estimation. Kybernetika, 47(3), 370-384.

Kárný, M., & Kuklišová Pavelková, L. (2007). Projection-based Bayesian recursive estimation of ARX model with uniform innovations. Systems and Control Letters, 56(9/10), 646-655. doi: 10.1016/j.sysconle.2007.03.005

Kárný, M., Nedoma, P., Khaylova, N., & Kuklišová Pavelková, L. (2003). Prior information in structure estimation. IEE Proceedings Control Theory and Applications, 150(6), 643-653.

Kuklišová Pavelková, L. (2025). Estimation of Rate-Dependent Hammerstein Model of Piezo Bender Actuator. In Proceedings of the International Conference on Informatics in Control, Automation and Robotics (532-538). Setubal, Portugal: SCITEPRESS. doi: 10.5220/0013855300003982

Kuklišová Pavelková, L., & Belda, K. (2024). Identification of Piezoelectric Actuator Using Bayesian Approach and Neural Networks. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics (ICINCO 2024) (591-599). Setubal, Portugal: Scitepress. doi: 10.5220/001385530000398

Kuklišová Pavelková, L. (2023). Bayesian State Estimation Using Constrained Zonotopes. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2 (189-194). Setubal, Portugal: SCITEPRESS. doi: 10.5220/0012230900003543

Pekař, L., Kuklišová Pavelková, L., & Matušů, R. (2023). Optimized 8-Parameter Relay-Based Delayed Thermal Process Model Identification via Saturated Relay and Artificial Delay. In DATA SCIENCE AND ALGORITHMS IN SYSTEMS, 2022, VOL 2 (118-131). Cham, Switzerland: SPRINGER INTERNATIONAL PUBLISHING AG. doi: 10.1007/978-3-031-21438-7_10

Kuklišová Pavelková, L., & Belda, K. (2021). Output-feedback MPC for Robotic Systems under Bounded Noise. In PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (ICINCO) (574-582). Setubal, Portugal: SCITEPRESS. doi: 10.5220/0010557705740582

Kuklišová Pavelková, L., & Belda, K. (2020). Output-Feedback Model Predictive Control for Systems under Uniform Disturbances. In 2020 7TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT'20), VOL 1 (897-902). New York, USA: IEEE.

Jirsa, L., Kuklišová Pavelková, L., & Quinn, A. (2020). Bayesian Filtering for States Uniformly Distributed on a Parallelotopic Support. In Proceedings of the 19th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2019 (1-6). Ajman, United Arab Emirates: IEEE. doi: 10.1109/isspit47144.2019.9001829

Jirsa, L., Kuklišová Pavelková, L., & Quinn, A. (2019). Knowledge Transfer in a Pair of Uniformly Modelled Bayesian Filters. In PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (ICINCO) (499-506). Setubal, Portugal: SCITEPRESS. doi: 10.5220/0007854104990506

Kuklišová Pavelková, L., & Jirsa, L. (2018). Approximate recursive Bayesian estimation of state space model with uniform noise. In PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (ICINCO) (388-394). Setubal, Portugal: SCITEPRESS. doi: 10.5220/0006933803880394

Kuklišová Pavelková, L., & Belda, K. (2018). Online Tuned Model Predictive Control for Robotic Systems with Bounded Noise. In Proceedings of 22nd INTERNATIONAL CONFERENCE ON METHODS AND MODELS IN AUTOMATION AND ROBOTICS (MMAR) (694-699). Miedzyzdroje, POLAND: IEEE. doi: 10.1109/MMAR.2017.8046912

Kuklišová Pavelková, L., & Belda, K. (2017). State Estimation and Model Predictive Control for the Systems with Uniform Noise. In Proceedings of 11th IFAC Symposium on Dynamics and Control of Process Systems including Biosystems (967-972). AMSTERDAM, NETHERLANDS: ELSEVIER. doi: 10.1016/j.ifacol.2016.07.327

Jirsa, L., & Kuklišová Pavelková, L. (2016). Estimation of Uniform Static Regression Model with Abruptly Varying Parameters. In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL. 1 (603-607). NEW YORK, USA: IEEE.

Kuklišová Pavelková, L., & Jirsa, L. (2016). Evaluation of Processor Health within Hierarchical Condition Monitoring System. In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL. 1 (667-671). NEW YORK, USA: IEEE.

Kuklišová Pavelková, L. (2009). SWAPPING BASED JOINT ESTIMATION OF UNIFORM STATE MODEL. In Proceedings of 15th Workshop on Statistical Signal Processing (169-172). NEW YORK, USA: IEEE.

Kuklišová Pavelková, L. (2022). Umělá inteligence na Vysoké škole polytechnické Jihlava. In Informatika 2022: Sborník příspěvků z konference (29-31). Jihlava: Vysoká škola polytechnická Jihlava.

Kuklišová Pavelková, L., Jirsa, L., & Quinn, A. (2021). Approximate Bayesian Prediction Using State Space Model with Uniform Noise. In Lecture Notes in Electrical Engineering (552-568). CHAM, SWITZERLAND: SPRINGER INTERNATIONAL PUBLISHING AG.