Iterative Learning Control for Closed-Loop Systems with Actuator Saturation using Alternating Projection
Zhihe Zhuang, Max van Meer, Hongfeng Tao, Tom Oomen, Wojciech Paszke, Tao Liu, Eric Rogers
IEEE 14th Data Driven Control and Learning Systems - DDCLS 2025, Wuxi, Chiny, s. 2248–2252, 2025
DOI: 10.1109/DDCLS66240.2025.11065983
A Comparative Study of Boundary Iterative Learning Control Strategies for Distributed-Parameter Systems
Kamil Klimkowicz, Maciej Patan, Krzysztof Patan, Eric Rogers
23rd European Control Conference (ECC), Thessaloniki, Grecja, s. 1660–1665, 2025
DOI: 10.23919/ECC64448.2025.111111
Stability margins of continuous-discrete 2D linear systems and their application to the design of iterative learning control laws for differential systems
Wojciech Paszke, Robert Maniarski, Eric Rogers
American Control Conference - ACC 2025, Denver, Stany Zjednoczone, s. 134–139, 2025
DOI: 10.23919/ACC63710.2025.11107595
Repetitive T-S Fuzzy Model-Based Iterative Learning Control law Design
Robert Maniarski, Wojciech Paszke, Hongfeng Tao, Eric Rogers
63rd IEEE Conference on Decision and Control (CDC), Mediolan, Włochy, s. 4137–4142, 2025
DOI: 10.1109/CDC56724.2024.10886442
Fault tolerant iterative learning control of distributed systems via reservoir computing
Krzysztof Patan, Maciej Patan
63rd IEEE Conference on Decision and Control (CDC), Mediolan, Włochy, s. 2087–2092, 2024
DOI: 10.1109/CDC56724.2024.10885797
Sensor Selection with Correlated Observations via Convex Relaxation
Dariusz Uciński, Maciej Patan
63rd IEEE Conference on Decision and Control (CDC), Mediolan, Włochy, s. 2703–2708, 2024
DOI: 10.1109/CDC56724.2024.10886743
Multi-objective iterative learning control with application to vacuum heat treatment process
Piotr Balik, Kamil Klimkowicz, Maciej Patan
28th International Conference on Methods and Models in Automation and Robotics (MMAR), Międzyzdroje, Polska, s. 276–281, 2024
DOI: 10.1109/MMAR62187.2024.10680759
Fault diagnosis of the vibrating beam system via multimodel neural ensembles
Maciej Patan, Krzysztof Patan, Piotr Balik
14th Asian Control Conference (ASCC), Dalian, Chiny, s. 1885–1890, 2024
DOI: 10.1109/ASCC61734.2024.10665616
Projection-Based Iterative Learning Control for Linear Systems With Flexible Tasks
Luyuan Gao, Zhihe Zhuang, Shanglei Guan, Hongfeng Tao, Jier Qiu, Wojciech Paszke
39th Youth Academic Annual Conference of Chinese Association of Automation (YAC), Dalian, Chiny, s. 664–669, 2024
DOI: 10.1109/YAC63405.2024.10598531
Robust Iterative Learning Control Design for a Class of Uncertain Batch Processes
Robert Maniarski, Wojciech Paszke, Hongfeng Tao, Eric Rogers
European Control Conference (ECC) 2024, Stockholm, Szwecja, s. 1202–1207, 2024
DOI: 10.23919/ECC64448.2024.10590902
Neural-based models ensemble for identification of the vibrating beam system
Krzysztof Patan, Maciej Patan, Piotr Balik
1st ECAI Workshop on Machine Learning Meets Differential Equations (MLDE), Santiago de Compostela, Hiszpania, Vol. 255, s. 1–13, 2024
DOI: 10.48550/arXiv.2410.05141
Repetitive Process Based Higher-Order Iterative Learning Control Law Design
Robert Maniarski, Wojciech Paszke, Bing Chu, Eric Rogers
62nd IEEE Conference on Decision and Control - CDC 2023, Singapore, Singapur, s. 5606–5611, 2024
DOI: 10.1109/CDC49753.2023.10383778
Boundary Iterative Learning Control for Repetitive Spatio-Temporal Processes
Maciej Patan, Kamil Klimkowicz, Krzysztof Patan, Eric Rogers
62nd IEEE Conference on Decision and Control (CDC 2023), Singapore, Singapur, s. 4632–4637, 2023
DOI: 10.1109/CDC49753.2023.10383389
Design of ILC laws with conditions for stabilizing linear 2D discrete Roesser models
Robert Maniarski, Wojciech Paszke, Hongfeng Tao, Eric Rogers
61st Conference on Decision and Control - CDC 2022, Cancun, Meksyk, s. 1491–1496, 2023
DOI: 10.1109/CDC51059.2022.9993063
Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling
Krzysztof Patan, Maciej Patan
International Joint Conference on Neural Networks (IJCNN 2022), Padua, Włochy, s. 1–8, 2022
DOI: 10.1109/IJCNN55064.2022.9892489
Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems
Maciej Patan, Kamil Klimkowicz, Krzysztof Patan
17th International Conference on Control, Automation, Robotics and Vision (ICARCV 2022), Singapore, Singapur, s. 449–454, 2022
DOI: 10.1109/ICARCV57592.2022.10004370
Reservoir modeling of distributed-parameter systems
Krzysztof Patan, Maciej Patan
17th International Conference on Control, Automation, Robotics and Vision (ICARCV 2022), Singapore, Singapur, s. 198–203, 2022
DOI: 10.1109/ICARCV57592.2022.10004225
Improved LMI-based conditions for designing of PD-type ILC laws for linear batch processes over two-dimensional setting
Robert Maniarski, Wojciech Paszke, Hongfeng Tao, Shoulin Hao
17th International Conference on Control, Automation, Robotics and Vision - ICARCV 2022, Singapore, Singapur, s. 355–360, 2022
DOI: 10.1109/ICARCV57592.2022.10004326
Sensor Selection for Minimizing the Condition Number with Guaranteed E-Efficiency
Dariusz Uciński, Maciej Patan
61st Conference on Decision and Control (CDC 2022), Cancun, Meksyk, s. 6730–6735, 2022
DOI: 10.1109/CDC51059.2022.9992335
Iterative learning control for vacuum heat treatment process
Piotr Balik, Kamil Klimkowicz, Maciej Patan
Methods and Models in Automation and Robotics (MMAR 2022), Międzyzdroje, Polska, s. 47–52, 2022
DOI: 10.1109/MMAR55195.2022.9874347
Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances
Robert Maniarski, Wojciech Paszke, Shoulin Hao, Hong-Feng Tao
The 41st Chinese Control Conference - CCC 2022, Hefei, Chiny, s. 2266–2271, 2022
DOI: 10.23919/CCC55666.2022.9901544
Maximin Efficient Sensor Location for Parameter Estimation of Spatiotemporal Systems
Dariusz Uciński, Maciej Patan
60th IEEE Conference on Decision and Control (CDC 2021), Austin, Stany Zjednoczone, s. 2601–2606, 2021
DOI: 10.1109/CDC45484.2021.9682891
Neural-network-based nonlinear iterative learning control: Magnetic brake study
Krzysztof Patan, Maciej Patan
International Joint Conference on Neural Networks (IJCNN 2021), Shenzhen, Chiny, s. 1–7, 2021
DOI: 10.1109/IJCNN52387.2021.9533709
Repetitive process based design of dynamic iterative learning controllers
Robert Maniarski, Wojciech Paszke, Eric Rogers
IEEE Conference on Control Technology and Applications - CCTA 2021, San Diego, Stany Zjednoczone, s. 950–955, 2021
DOI: 10.1109/CCTA41146.2021.9548488
Iterative learning control for distributed parameter systems using sensor-actuator network
Maciej Patan, Kamil Klimkowicz, Krzysztof Patan
16th International Conference on Control, Automation, Robotics and Vision (ICARCV 2020), Shenzhen, Chiny, s. 1200–1205, 2020
DOI: 10.1109/ICARCV50220.2020.9305367
Robustness of Neural-Network-based Nonlinear Iterative Learning Control
Krzysztof Patan, Maciej Patan
16th International Conference on Control, Automation, Robotics and Vision (ICARCV 2020), Shenzhen, Chiny, s. 578–583, 2020
DOI: 10.1109/ICARCV50220.2020.9305505
Application of deep learning to seizure classification
Krzysztof Patan, Grzegorz Rutkowski
14th International Conference on Diagnostics of Processes and Systems (DPS), Zielona Góra, Polska, s. 39, 2020
DOI: 10.1007/978-3-030-58964-6_11
Design of iterative learning control schemes for spatially interconnected systems
Robert Maniarski, Kamil Klimkowicz, Wojciech Paszke, Eric Rogers
IEEE 58th Conference on Decision and Control - CDC 2019, Nice, Francja, s. 6518–6523, 2020
DOI: 10.1109/CDC40024.2019.9029188
Robust static output feedback based ILC design with finite frequency specifications for batch processes with time-varying uncertainties
Shoulin Hao, Tao Liu, Wojciech Paszke
39th Chinese Control Conference - CCC 2020, Shenyang, Chiny, s. 1861–1866, 2020
DOI: 10.23919/CCC50068.2020.9188988
Iterative learning control of the displacements of a cantilever beam
Maciej Patan, Kamil Klimkowicz, Robert Maniarski, Krzysztof Patan, Eric Rogers
IEEE 58th Conference on Decision and Control (CDC 2019), Nice, Francja, s. 5593–5598, 2019
DOI: 10.1109/CDC40024.2019.9030205
Sensor Location for Parameter Estimation of Spatiotemporal Systems with Correlated Observations
Dariusz Uciński, Maciej Patan
IEEE 58th Conference on Decision and Control (CDC 2019), Nice, Francja, s. 1189–1194, 2019
DOI: 10.1109/CDC40024.2019.9029354
Iterative learning control of deflections in vibrating beam
Kamil Klimkowicz, Robert Maniarski, Maciej Patan
24th International Conference on Methods and Models in Automation and Robotics (MMAR 2019), Międzyzdroje, Polska, s. 215–220, 2019
DOI: 10.1109/MMAR.2019.8864639
Neural-network-based high-order iterative learning control
Krzysztof Patan, Maciej Patan
American Control Conference (ACC 2019), Philadelphia, Stany Zjednoczone, s. 2873–2878, 2019
DOI: 10.23919/ACC.2019.8814460
A simple structure iterative learning algorithm experimentally validated for mobile robot path-tracking
Robert Maniarski, Wojciech Paszke, Eric Rogers
American Control Conference - ACC 2019, Philadelphia, Stany Zjednoczone, s. 2221–2226, 2019
DOI: 10.23919/ACC.2019.8814717
Attenuation on non-repetitive disturbances in robust iterative learning control schemes designed over repetitive setting
Wojciech Paszke, Shoulin Hao, Tao Liu
18th European Control Conference - ECC 2019, Napoli, Włochy, s. 3760–3765, 2019
DOI: 10.23919/ECC.2019.8795678
Design of distributed robust control of 1D-spatially interconnected systems in the repetitive process setting
Robert Maniarski, Kamil Klimkowicz, Wojciech Paszke
24th International Conference on Methods and Models in Automation and Robotics - MMAR 2019, Międzyzdroje, Polska, s. 221–226, 2019
DOI: 10.1109/MMAR.2019.8864643
Repetitive process stability theory applied to the design of distributed controllers for spatially interconnected systems
Robert Maniarski, Kamil Klimkowicz, Wojciech Paszke, Eric Rogers
3rd IEEE Conference on Control Technology and Applications - CCTA 2019, Hong Kong, Chiny, s. 338–343, 2019
DOI: 10.1109/CCTA.2019.8920497
