Number of the records: 1
Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain
- 1.
SYSNO ASEP 0545245 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain Author(s) Cichy, B. (PL)
Augusta, Petr (UTIA-B) RID
Galkowski, K. (PL)
Rogers, E. (GB)Number of authors 4 Source Title Multidimensional Systems and Signal Processing. - : Springer - ISSN 0923-6082
Roč. 32, č. 1 (2021), s. 1237-1258Number of pages 22 s. Publication form Print - P Language eng - English Country US - United States Keywords Spatially distributed parameter systems ; Iterative learning control Subject RIV BC - Control Systems Theory OECD category Robotics and automatic control Method of publishing Limited access Institutional support UTIA-B - RVO:67985556 UT WOS 000656382300001 EID SCOPUS 85107282077 DOI 10.1007/s11045-021-00780-1 Annotation This paper gives new contributions to the development of iterative learning control for distributed parameter systems, based on using finite difference schemes to construct a finitedimensional approximate model of the dynamics for control law design. To form a basis for the new results, systems whose dynamics are described by a fourth-order partial differential equation are considered together with the associated accuracy and numerical stability checks. Some previous control law designs use only a spatial variable as the control input, which can be a serious obstacle to practical implementation since many actuators and sensors must be deployed. This paper’s new design is based on spatially homogeneous sensing and excitation over a selected sub-area of the domain considered. Supporting numerical case studies are given to support the analysis. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2022 Electronic address https://link.springer.com/article/10.1007/s11045-021-00780-1
Number of the records: 1