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A finite difference scheme for iterative learning control oriented modelling of physical systems described by PDEs in polar coordinates
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SYSNO ASEP 0492892 Document Type C - Proceedings Paper (int. conf.) R&D Document Type The record was not marked in the RIV Title A finite difference scheme for iterative learning control oriented modelling of physical systems described by PDEs in polar coordinates Author(s) Augusta, Petr (UTIA-B) RID
Cichy, B. (PL)
Galkowski, K. (PL)
Rogers, E. (GB)Number of authors 4 Source Title Proceedings of the 23rd International Symposium on Mathematical Theory of Networks and Systems. - Hong Kong : Hong Kong University of Science and Technology, 2018 Pages s. 659-665 Number of pages 6 s. Publication form Print - P Action The 23rd International Symposium on Mathematical Theory of Networks and Systems (MTNS 2018) Event date 16.07.2018 - 20.07.2018 VEvent location Hong Kong University of Science and Technology Country HK - Hong Kong Event type WRD Language eng - English Country HK - Hong Kong Keywords Finite difference ; Iterative learning control ; PDE discretization Subject RIV BC - Control Systems Theory OECD category Electrical and electronic engineering Institutional support UTIA-B - RVO:67985556 Annotation Iterative learning control is a well established area of research and applications in engineering and more recently healthcare. This form of control is especially suitable for applications where the system is required to make repeated executions of a finite duration task with resetting to the starting location at the end of each execution. The majority of the theory and designs are for systems described by finite dimensional differential or discrete dynamics but there is increasing interest in the extension to systems described by partial differential equations, where the interest in this paper is in the use of approximate finite dimensional models of the dynamics. The construction of such models studied using a regular hexagonal grid and polar coordinates, with a fourth order partial differential equation as an example. A supporting numerical application study is also given. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2019
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