Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Robert Maniarski"'
Publikováno v:
2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV).
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
Multidimensional Systems and Signal Processing. 33:223-245
The paper develops new results on stability analysis and stabilization of linear repetitive processes. Repetitive processes are a distinct subclass of two-dimensional (2D) systems, whose origins are in the modeling for control of mining and metal rol
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Publikováno v:
2021 60th IEEE Conference on Decision and Control (CDC).
Publikováno v:
2021 IEEE Conference on Control Technology and Applications (CCTA).
Publikováno v:
IFAC-PapersOnLine. 53:1462-1467
The paper develops new results on the stability analysis of differential linear repetitive processes. These processes are a distinct class of two-dimensional systems that arise in the modelling of physical processes and also the existing systems theo
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030509354
KKA
KKA
The paper develops new results on stability analysis and control law design for differential linear repetitive processes. These results are based on new dilated LMI characterizations for stability along the pass where auxiliary slack variables with f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d42dca5081be5205857e2b2ab708a17
https://doi.org/10.1007/978-3-030-50936-1_16
https://doi.org/10.1007/978-3-030-50936-1_16
Publikováno v:
CDC
This paper develops a numerically effective approach to control synthesis for repetitive transverse loads in cantilever beam using an iterative learning control. In particular, the optimal tracking problem for the transverse displacements in the beam
Publikováno v:
CDC
This paper develops novel procedures for design of iterative learning control schemes applied to spatially interconnected systems. In particular, differential linear repetitive process stability theory is used to design stabilizing and learning contr