Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Data-driven control and performance assessment for industrial batch processes

2020/39/B/ST7/01487

Keywords:

Industrial batch processes Iterative learning control Data-driven control Performance assessment On-line quality prediction Fault detection

Descriptors:

  • ST7_001:
  • ST7_003:

Panel:

ST7 - Systems and communication engineering: electronics, communication, optoelectronics

Host institution :

Uniwersytet Zielonogórski, Wydział Nauk Inżynieryjno-Technicznych

woj. lubuskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Wojciech Paszke 

Number of co-investigators in the project: 6

Call: OPUS 20 - announced on 2020-09-15

Amount awarded: 809 800 PLN

Project start date (Y-m-d): 2021-07-20

Project end date (Y-m-d): 2025-07-19

Project duration:: 48 months (the same as in the proposal)

Project status: Project completed

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (13)
  • Articles in post-conference publications (7)
  1. Echo-state-network-based iterative learning control of distributed systems
    Authors:
    Krzysztof Patan, Maciej Patan
    Academic press:
    IFAC-PapersOnLine (), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1704 - link to the publication
  2. An Optimal Iterative Learning Control Approach for Linear Systems With Nonuniform Trial Lengths Under Input Constraints
    Authors:
    Zhihe Zhuang; Hongfeng Tao; Yiyang Chen; Vladimir Stojanovic; Wojciech Paszke
    Academic press:
    IEEE Transactions on Systems, Man, and Cybernetics: Systems (), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TSMC.2022.3225381 - link to the publication
  3. Experimentally Validated Vector Lyapunov Function-Based Iterative Learning Control Design Under Input Saturation
    Authors:
    Pavel Pakshin , Sławomir Mandra , Julia Emelianova , Eric Rogers , Krystian Erwiński, Krzysztof Gałkowski
    Academic press:
    IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TCST.2023.3309500 - link to the publication
  4. Fault-tolerant design of non-linear iterative learning control using neural networks
    Authors:
    Krzysztof Patan , Maciej Patan
    Academic press:
    Engineering Applications of Artificial Intelligence , Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.engappai.2023.106501 - link to the publication
  5. Optimal iterative learning control design for continuous-time systems with nonidentical trial lengths using alternating projections between multiple sets
    Authors:
    Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Tom Oomen, Wojciech Paszke, Eric Rogers
    Academic press:
    Journal of the Franklin Institute (), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jfranklin.2023.02.006 - link to the publication
  6. Repetitive process based indirect-type iterative learning control for batch processes with model uncertainty and input delay
    Authors:
    Hongfeng Tao , Junhao Zheng , Junyu Wei , Wojciech Paszke , Eric Rogers , Vladimir Stojanovic
    Academic press:
    Journal of Process Control , Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.jprocont.2023.103112 - link to the publication
  7. Point-to-point iterative learning control with quantised input signal and actuator faults
    Authors:
    Yande Huang, Hongfeng Tao, Yiyang Chen, Eric Rogers, Wojciech Paszke
    Academic press:
    International Journal of Control , Wydawca: Taylor and Francis
    Status:
    Published
    DOI:
    10.1080/00207179.2023.2206496 - link to the publication
  8. Alternating projection-based iterative learning control for discrete-time systems with non-uniform trial lengths
    Authors:
    Zhihe Zhuang , Hongfeng Tao , Yiyang Chen , Eric Rogers , Tom Oomen , Wojciech Paszke
    Academic press:
    International Journal of Robust and Nonlinear Control (), Wydawca: Wiley
    Status:
    Published
    DOI:
    10.1002/rnc.6750 - link to the publication
  9. Iterative Learning Control of Discrete Systems With Actuator Backlash Using a Weighted Sum of Previous Trial Control Signals
    Authors:
    Pavel Pakshin, Julia Emelianova, Eric Rogers, Krzysztof Galkowski
    Academic press:
    IEEE CONTROL SYSTEMS LETTERS (), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/LCSYS.2023.3292035 - link to the publication
  10. Iterative learning control for repetitive tasks with randomly varying trial lengths using successive projection
    Authors:
    Zhihe Zhuang, Hongfeng Tao, Yiyang Chen, Vladimir Stojanovic, Wojciech Paszke
    Academic press:
    International Journal of Adaptive Control and Signal Processing (), Wydawca: Wiley
    Status:
    Published
    DOI:
    10.1002/acs.3396 - link to the publication
  11. Repetitive process based design of PD-type iterative learning control laws for batch processes with time-delays
    Authors:
    Robert Maniarski, Wojciech Paszke, Eric Rogers, Hongfeng Tao
    Academic press:
    IFAC-PapersOnLine (), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1079 - link to the publication
  12. Q-learning based fault estimation and fault tolerant iterative learning control for MIMO systems
    Authors:
    Rui Wang , Zhihe Zhuang , Hongfeng Tao , Wojciech Paszke , Vladimir Stojanovic
    Academic press:
    ISA Transactions (), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.isatra.2023.07.043 - link to the publication
  13. Feedback-aided PD-type iterative learning control for time-varying systems with non-uniform trial lengths
    Authors:
    Shanglei Guan , Zhihe Zhuang , Hongfeng Tao , Yiyang Chen , Vladimir Stojanovic , Wojciech Paszke
    Academic press:
    Transactions of the Institute of Measurement and Control (), Wydawca: SAGE
    Status:
    Published
    DOI:
    10.1177/01423312221142564 - link to the publication
  1. Optimal sensor selection for prediction-based iterative learning control of distributed parameter systems
    Authors:
    Maciej Patan, Kamil Klimkowicz, Krzysztof Patan
    Conference:
    Proceedings of 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) (tom: 17th International Conference on Control, Automation, Robotics and Vision (ICARCV), strony: 449-454), Wydawca: IEEE
    Data:
    konferencja 11-13 grudzień
    Status:
    Published
    DOI:
    10.1109/ICARCV57592.2022.10004370 - link to the publication
  2. Improved LMI-based conditions for designing of PD-type ILC laws for linear batch processes over two-dimensional setting
    Authors:
    Robert Maniarski, Wojciech Paszke, Shoulin Hao, Hongfeng Tao
    Conference:
    Proceedings of 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) (tom: 17th International Conference on Control, Automation, Robotics and Vision (ICARCV), strony: 355-360), Wydawca: IEEE
    Data:
    konferencja 11-13 grudzień
    Status:
    Published
    DOI:
    10.1109/ICARCV57592.2022.10004326 - link to the publication
  3. Neural-Network-Based Models Ensemble for Identification in Distributed-Parameter Systems with Application to Elastic Materials Modeling
    Authors:
    Krzysztof Patan, Maciej Patan
    Conference:
    Proceedings of International Joint Conference on Neural Networks (IJCNN) (tom: International Joint Conference on Neural Networks (IJCNN), strony: ), Wydawca: IEEE
    Data:
    konferencja 18-23 lipiec
    Status:
    Published
    DOI:
    10.1109/IJCNN55064.2022.9892489 - link to the publication
  4. Repetitive Process Based Higher-Order Iterative Learning Control Law Design
    Authors:
    Robert Maniarski, Wojciech Paszke, Bing Chu, Eric Rogers
    Conference:
    2023 62nd IEEE Conference on Decision and Control (CDC) (tom: 62nd IEEE Conference on Decision and Control (CDC 2023), strony: 5606-5611), Wydawca: IEEE
    Data:
    konferencja 13-15 grudzień
    Status:
    Published
    DOI:
    10.1109/CDC49753.2023.10383778 - link to the publication
  5. Iterative learning control for vacuum heat treatment process
    Authors:
    Piotr Balik, Kamil Klimkowicz, Maciej Patan
    Conference:
    Proceedings of 26th International Conference on Methods and Models in Automation and Robotics (MMAR) (tom: 26th International Conference on Methods and Models in Automation and Robotics (MMAR), strony: 47-52), Wydawca: IEEE
    Data:
    konferencja 22-25 sierpień
    Status:
    Published
    DOI:
    10.1109/MMAR55195.2022.9874347 - link to the publication
  6. Reservoir modeling of distributed-parameter systems
    Authors:
    Krzysztof Patan, Maciej Patan
    Conference:
    Proceedings of 17th International Conference on Control, Automation, Robotics and Vision (ICARCV) (tom: 17th International Conference on Control, Automation, Robotics and Vision (ICARCV), strony: 198-203), Wydawca: IEEE
    Data:
    konferencja 11-13 grudzień
    Status:
    Published
    DOI:
    10.1109/ICARCV57592.2022.10004225 - link to the publication
  7. Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances
    Authors:
    Robert Maniarski, Wojciech Paszke, Shoulin Hao, Hongfeng Tao
    Conference:
    Proceedings of the 41st Chinese Control Conference (tom: 41st Chinese Control Conference, strony: 2266-2271), Wydawca: IEEE
    Data:
    konferencja 25-27 czerwca 2022
    Status:
    Published
    DOI:
    10.23919/CCC55666.2022.9901544 - link to the publication

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