Data-enabled iterative learning control: A zero-sum game design for time-scale-varying tasks Zhihe Zhuang, Rodrigo A. Gonzâlez, Hongfeng Tao, Wojciech Paszke, Tom Oomen Automatica, Vol. 185 (2026): 1–12. Impact Factor: 5.900 Doi: 10.1016/j.automatica.2025.112781
A Decentralized Optimal Iterative Learning Control Approach With Efficient Computation for Collaborative Tracking Luyuan Gao, Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Wojciech Paszke, Vladimir Stojanovic International Journal of Robust and Nonlinear Control, Vol. 35, iss. 16 (2025): 6652–6669. Impact Factor: 3.200 Doi: 10.1002/rnc.70020
Double-Layer Learning Control With Iterative Disturbance Observer for Unknown Nonlinear Batch Manufacturing Systems Subject to Nonrepetitive Disturbance Naseem Ahmad, Shoulin Hao, Tao Liu, Yihui Gong, Hong-Feng Tao, Wojciech Paszke International Journal of Robust and Nonlinear Control, Vol. 35 (2025): Early View. Impact Factor: 3.200 Doi: 10.1002/rnc.70226
High-Order Predictive Extended State Observer Based Anti-Disturbance Control for Input-Delayed Systems Subject to Multi-Source Disturbances Shoulin Hao, Tao Liu, Wojciech Paszke, Qing-Guo Wang International Journal of Robust and Nonlinear Control, Vol. 35, iss. 18 (2025): 7659–7670. Impact Factor: 3.200 Doi: 10.1002/rnc.70065
ILC-Based Tracking Control for Linear Systems With External Disturbances via an SMC Scheme Rongni Yang, Yingjie Gong, Wojciech Paszke IEEE Transactions on Automation Science and Engineering, Vol. 22 (2025): 9698–9707. Impact Factor: 6.400 Doi: 10.1109/TASE.2024.3510738
Iterative learning control optimization strategy for feedback control systems with varying tasks Fangmei Chen, Hongfeng Tao, Zhihe Zhuang, Wojciech Paszke, Vladimir Stojanovic Mathematical Modelling and Control, Vol. 5, iss. 3 (2025): 321–337. Impact Factor: 2.700 Doi: 10.3934/mmc.2025022
New Predictor-Based Anti-Disturbance Control for Discrete-Time Systems with Input Delay Subject to Time-Varying Uncertainties Shoulin Hao, Ruitao Du, Tao Liu, Wojciech Paszke International Journal of Robust and Nonlinear Control, Vol. 35, iss. 3 (2025): 959–971. Impact Factor: 3.200 Doi: 10.1002/rnc.7696
PI-Based Set-Point Learning Control for Batch Processes with Unknown Dynamics and Nonrepetitive Uncertainties Shoulin Hao, Tao Liu, Eric Rogers, Youqing Wang, Wojciech Paszke IEEE Transactions on Automatic Control, Vol. 70, Iss. 6 (2025): 3649–3664. Impact Factor: 6.549 Doi: 10.1109/TAC.2024.3512196
Predictive Optimal Iterative Learning Control for Nonlinear Systems Using the Koopman Operator Xinyue Tao, Hongfeng Tao, Luyuan Gao, Wojciech Paszke, Eric Rogers International Journal of Adaptive Control and Signal Processing (2025): 1–10. Impact Factor: 3.800 Doi: 10.1002/acs.70008
Reinforcement learning based iterative learning control for nonlinear batch process with non-repetitive uncertainty via Koopman operator Hongfeng Tao, Yuan Huang, Tao Liu, Wojciech Paszke Journal of Process Control, Vol. 148 (2025): 1–11. Impact Factor: 3.900 Doi: 10.1016/j.jprocont.2025.103402
Robust indirect-type iterative learning control design for batch processes with state delay, non-repetitive uncertainties and disturbances Hongfeng Tao, Junyu Wei, Shoulin Hao, Wojciech Paszke, Eric Rogers International Journal of Control (2025): 1–12. Impact Factor: 1.600 Doi: 10.1080/00207179.2025.2479189
Design, Implementation, and Control of a Wheel-Based Inverted Pendulum Dominik Zaborniak, Krzysztof Patan, Marcin Witczak Electronics (Switzerland), Vol. 13, iss. 3 (2024): 1–21. Impact Factor: 2.600 Doi: 10.3390/electronics13030514
Point-to-point iterative learning control with quantised input signal and actuator faults Yande Huang, Hongfeng Tao, Yiyang Chen, Eric Rogers, Wojciech Paszke International Journal of Control, Vol. 97, iss. 6 (2024): 1361–1376. Impact Factor: 1.600 Doi: 10.1080/00207179.2023.2206496
Quantized iterative learning control of communication-constrained systems with encoding and decoding mechanism Yujuan Tao, Hongfeng Tao, Zhihe Zhuang, Vladimir Stojanovic, Wojciech Paszke Transactions of the Institute of Measurement and Control, Vol. 46, iss. 10 (2024): 1943–1954. Impact Factor: 1.900 Doi: 10.1177/01423312231225782
Robust PD-type iterative learning control in a finite-frequency range for nonlinear systems based on T-S fuzzy models Wei Zou, Yanxia Shen, Wojciech Paszke Transactions of the Institute of Measurement and Control, Vol. 46, iss. 4 (2024): 663–676. Impact Factor: 1.900 Doi: 10.1177/01423312241246828
Alternating projection-based iterative learning control for discrete-time systems with non-uniform trial lengths Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Eric Rogers, Tom Oomen, Wojciech Paszke International Journal of Robust and Nonlinear Control, Vol. 33, iss. 12 (2023): 7333–7356. Impact Factor: 3.200 Doi: 10.1002/rnc.6750
Asynchronous event-triggered H∞ control for 2D Markov jump systems subject to networked random packet losses Xiaofeng Ma, Jingjing Dong, Weipeng Tai, Jianping Zhou, Wojciech Paszke Communications in Nonlinear Science and Numerical Simulation, Vol. 126 (2023): 1–14. Impact Factor: 3.400 Doi: 10.1016/j.cnsns.2023.107453
Echo-state-network-based iterative learning control of distributed systems Krzysztof Patan, Maciej Patan IFAC-PapersOnLine, Vol. 56, iss. 2 (2023): 1057–1062. Impact Factor: brak (seria konferencyjna) Doi: 10.1016/j.ifacol.2023.10.1704
Fault-tolerant design of non-linear iterative learning control using neural networks Krzysztof Patan, Maciej Patan Engineering Applications of Artificial Intelligence, Vol. 124 (2023): Article 106501, 1–13. Impact Factor: 7.500 Doi: 10.1016/j.engappai.2023.106501
Feedback-aided PD-type iterative learning control for time-varying systems with non-uniform trial lengths Shanglei Guan, Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke Transactions of the Institute of Measurement and Control, Vol. 45, iss. 11 (2023): 2015–2026. Impact Factor: 1.700 Doi: 10.1177/01423312221142564
Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Tom Oomen, Wojciech Paszke, Eric Rogers Journal of the Franklin Institute, Vol. 360, iss. 5 (2023): 3825–3848. Impact Factor: 3.700 Doi: 10.1016/j.jfranklin.2023.02.006
Q-learning based fault estimation and fault tolerant iterative learning control for MIMO systems Rui Wang, Zhihe Zhuang, Hongfeng Tao, Wojciech Paszke, Vladimir Stojanovic ISA Transactions, Vol. 142 (2023): 123–135. Impact Factor: 6.300 Doi: 10.1016/j.isatra.2023.07.043
Repetitive process based design of PD-type iterative learning control laws for batch processes with time-delays Robert Maniarski, Wojciech Paszke, Eric Rogers, Hongfeng Tao IFAC-PapersOnLine, Vol. 56, iss. 2 (2023): 1901–1906. Impact Factor: brak (konferencyjne/seria) Doi: 10.1016/j.ifacol.2023.10.1079
Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay Hongfeng Tao, Junhao Zheng, Junyu Wei, Wojciech Paszke, Eric Rogers, Vladimir Stojanovic Journal of Process Control, Vol. 132 (2023): 1–12. Impact Factor: 3.300 Doi: 10.1016/j.jprocont.2023.103112
Actuator fault-tolerant iterative learning control of the magnetic brake system Krzysztof Patan, Maciej Patan IFAC-PapersOnLine, Vol. 55, iss. 6 (2022): 266–271. Impact Factor: brak (seria konferencyjna) Doi: 10.1016/j.ifacol.2022.07.140
An Optimal Iterative Learning Control Approach for Linear Systems With Nonuniform Trial Lengths Under Input Constraints Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 53, iss. 6 (2022): 3461–3473. Impact Factor: 8.700 Doi: 10.1109/TSMC.2022.3225381
Iterative learning control for repetitive tasks with randomly varying trial lengths using successive projection Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke International Journal of Adaptive Control and Signal Processing, Vol. 36, iss. 5 (2022): 1196–1215. Impact Factor: 3.100 Doi: 10.1002/acs.3396
New relaxed stability and stabilization conditions for both discrete and differential linear repetitive processes Marcin Boski, Robert Maniarski, Wojciech Paszke, Eric Rogers Multidimensional Systems and Signal Processing, Vol. 33 (2022): 223–245. Impact Factor: 2.500 Doi: 10.1007/s11045-021-00791-y
Observer-based Iterative Learning Control for the Discrete-time Systems with Time Delay and Finite Frequency Domain Specifications Yingjie Gong, Rongni Yang, Wojciech Paszke, Hongfeng Tao International Journal of Control, Automation and Systems, Vol. 20, iss. 1 (2022): 48–57. Impact Factor: 3.200 Doi: 10.1007/s12555-020-0875-x
Output feedback based robust iterative learning control via a heuristic approach for batch processes with time-varying state delays and uncertainties Junyu Wei, Hongfeng Tao, Shoulin Hao, Wojciech Paszke, Krzysztof Gałkowski Journal of Process Control, Vol. 116 (2022): 159–171. Impact Factor: 4.200 Doi: 10.1016/j.jprocont.2022.06.008
Robust feedback feed-forward PD-type iterative learning control for uncertain discrete systems over finite frequency ranges Wei Zou, Yanxia Shen, Wojciech Paszke, Hongfeng Tao Transactions of the Institute of Measurement and Control, Vol. 44, iss. 14 (2022): 2850–2862. Impact Factor: 1.800 Doi: 10.1177/01423312221086363
Robust point-to-point iterative learning control for constrained systems: A minimum energy approach Chenhui Zhou, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke International Journal of Robust and Nonlinear Control, Vol. 32, iss. 18 (2022): 10139–10161. Impact Factor: 3.900 Doi: 10.1002/rnc.6354
Fault Diagnosability Analysis of Two-Dimensional Linear Discrete Systems Dong Zhao, Choon Ki Ahn, Wojciech Paszke, Fangzhou Fu, Yueyang Li IEEE Transactions on Automatic Control, Vol. 66, iss. 2 (2021): 826–832. Impact Factor: 6.549 Doi: 10.1109/TAC.2020.2986054
Output feedback based PD-type robust iterative learning control for uncertain spatially interconnected systems Hong-Feng Tao, Long-Hui Zhou, Shoulin Hao, Wojciech Paszke, Hui-Zhong Yang International Journal of Robust and Nonlinear Control, Vol. 31, iss. 12 (2021): 5962–5983. Impact Factor: 3.897 Doi: 10.1002/rnc.5584
Robust PD-type iterative learning control for discrete systems withmultiple time-delays subjected to polytopic uncertainty and restricted frequency-domain Hongfeng Tao, Xiaohui Li, Wojciech Paszke, Vladimir Stojanovic, Huizhong Yang Multidimensional Systems and Signal Processing, Vol. 32, iss. 2 (2021): 1–22. Impact Factor: 2.030 Doi: 10.1007/s11045-020-00754-9
Robust static output feedback based iterative learning control design with a finite-frequency-range two-dimensional H∞ specification for bath processes subject to nonrepetitive disturbances Shoulin Hao, Tao Liu, Wojciech Paszke, Krzysztof Gałkowski, Qing-Guo Wang International Journal of Robust and Nonlinear Control, Vol. 31, iss. 12 (2021): 5745–5761. Impact Factor: 3.897 Doi: 10.1002/rnc.5567
Iterative Learning Control for Linear Differential Systems With Additional Performance Requirements Lei Wang, Huizhong Yang, Wojciech Paszke, Hongfeng Tao IEEE Access, Vol. 8 (2020): 107013–107024. Impact Factor: 3.367 Doi: 10.1109/ACCESS.2020.3000252
Neural-network-based iterative learning control of nonlinear systems Krzysztof Patan, Maciej Patan ISA Transactions, Vol. 98 (2020): 445–453. Impact Factor: 5.468 Doi: 10.1016/j.isatra.2019.08.044
New relaxed stability and stabilization conditions for differential linear repetitive processes Robert Maniarski, Wojciech Paszke, Eric Rogers, Marcin Boski IFAC-PapersOnLine, Vol. 53, iss. 2 (2020): 1462–1467. Impact Factor: brak Doi: 10.1016/j.ifacol.2020.12.1933
PD-Type Iterative Learning Control for Uncertain Spatially Interconnected Systems Longhui Zhou, Hongfeng Tao, Wojciech Paszke, Vladimir Stojanovic, Huizhong Yang Mathematics, Vol. 8, iss. 9 (2020): 1–18. Impact Factor: 2.258 Doi: 10.3390/math8091528
Robust Iterative Learning Control in Finite Frequency Ranges for Differential Spatially Interconnected Systems Hongfeng Tao, Qiang Wei, Wojciech Paszke, Longhui Zhou, Huizhong Yang Circuits, Systems, and Signal Processing (2020): 1–23. Impact Factor: 2.225 Doi: 10.1007/s00034-020-01402-0
Sensor Fault-Tolerant Control Design for Magnetic Brake System Krzysztof Patan, Maciej Patan, Kamil Klimkowicz Sensors, Vol. 20, iss. 16 (2020): 4598. Impact Factor: 3.576 Doi: 10.3390/s20164598
Finite frequency range iterative learning fault-tolerant control for discrete time-delay uncertain systems with actuator faults Hongfeng Tao, Wojciech Paszke, Eric Rogers, Huizhong Yang, Krzysztof Gałkowski ISA Transactions, Vol. 95 (2019): 152–163. Impact Factor: 4.305 Doi: 10.1016/j.isatra.2019.05.025
Finite frequency range robust iterative learning control of linear discrete system with multiple time-delays Hongfeng Tao, Wojciech Paszke, Huizhong Yang, Krzysztof Gałkowski Journal of the Franklin Institute, Vol. 356 (2019): 2690–2708. Impact Factor: 4.036 Doi: 10.1016/j.jfranklin.2019.01.040
