Real-time data driven control and performance optimization for complex nonlinear batch manufacturing systems

2023/48/Q/ST7/00205

Keywords

Descriptors

  • ST7_01: Inżynieria sterowania w automatyce i robotyce, biocybernetyka
  • ST7_03: Inżynieria symulacji i modelowania
  • ST7_13: Inne zagadnienia pokrewne

Panel

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

Host institution

Uniwersytet Zielonogórski, Wydział Nauk Inżynieryjno-Technicznych

Voivodeship: 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: 5

Call

SHENG 3 – announced on 2022-11-29

Amount awarded
866 000 PLN
Project start date
2024-01-23
Project end date
2027-01-22
Project duration
36 months (the same as in the proposal)
Project status
Pending project

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 (1)

  1. ILC-Based Tracking Control for Linear Systems With External Disturbances via an SMC Scheme

    Authors:
    Rongni Yang, Yingjie Gong, Wojciech Paszke
    Academic press:
    IEEE Transactions on Automation Science and Engineering (year: 2024, volume: 1, pages: 46032), Publisher: IEEE
    Status:
    Published
    DOI:
    10.1109/TASE.2024.3510738 – link to the publication

Articles in post-conference publications (3)

  1. Design of indirect-type iterative learning control for continuous-time batch processes with the repetitive process setting

    Authors:
    Robert Maniarski, Wojciech Paszke, Hongfeng Tao, Zhihe Zhuang
    Conference:
    2024 14th Asian Control Conference (ASCC) (year: 2024, volume: 14th Asian Control Conference (ASCC), pages: 563-568), Publisher: IEEE
    Date:
    conference 05-08 Czerwiec 2024
    Status:
    Published
  2. Neural-based models ensemble for identification of the vibrating beam system

    Authors:
    Krzysztof Patan, Maciej Patan, Piotr Balik
    Conference:
    [1st ECAI Workshop on Machine Learning Meets Differential Equations: From Theory to Applications Logo] Proceedings of Machine Learning Research (year: 2024, volume: 1st ECAI Workshop on Machine Learning Meets Differential Equations: From Theory to Applications, pages: PMLR 255:1-13), Publisher: MLResearchPress
    Date:
    conference 19-24.10.2024
    Status:
    Published
    DOI:
    link to the publication
  3. Fault diagnosis of the vibrating beam system via multimodel neural ensembles

    Authors:
    Krzysztof Patan, Maciej Patan, Piotr Balik
    Conference:
    2024 14th Asian Control Conference (ASCC) (year: 2024, volume: 14th Asian Control Conference (ASCC), pages: 1885-1890), Publisher: IEEE
    Date:
    conference 05-08 Czerwiec 2024
    Status:
    Published

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Graphic design and implementation: Jakub Piotrowski