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Bibliografie

Journal Article

Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain

Cichy B., Augusta Petr, Galkowski K., Rogers E.

: Multidimensional Systems and Signal Processing vol.32, 1 (2021), p. 1237-1258

: Spatially distributed parameter systems, Iterative learning control

: 10.1007/s11045-021-00780-1

: https://link.springer.com/article/10.1007/s11045-021-00780-1

(eng): 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.

: BC

: 20204

07.01.2019 - 08:39