Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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

2023/48/Q/ST7/00205

Keywords:

Nonlinear batch manufacturing systems data-driven control iterative learning control active disturbance rejection control performance optimization

Descriptors:

  • ST7_01:
  • ST7_03:
  • ST7_13:

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: 5

Call: SHENG 3 - announced on 2022-11-29

Amount awarded: 866 000 PLN

Project start date (Y-m-d): 2024-01-23

Project end date (Y-m-d): 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)
  • Articles in post-conference publications (3)
  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 (rok: 2024, tom: 1, strony: 45667), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TASE.2024.3510738 - link to the publication
  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) (rok: 2024, tom: 14th Asian Control Conference (ASCC), strony: 563-568), Wydawca: IEEE
    Data:
    konferencja 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 (rok: 2024, tom: 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications", strony: PMLR 255:1-13), Wydawca: MLResearchPress
    Data:
    konferencja 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) (rok: 2024, tom: 14th Asian Control Conference (ASCC), strony: 1885-1890), Wydawca: IEEE
    Data:
    konferencja 05-08 Czerwiec 2024
    Status:
    Published

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