0545245 20231122145923.620210907235959.9 000656382300001 85107282077 10.1007/s11045-021-00780-1 Modeling and iterative learning control of spatially distributed parameter systems with sensing and actuation over a selected area of the domain 22 s. P cav_un_epca*02572860923-6082Multidimensional Systems and Signal Processing321 (2021)1237-1258Springer Spatially distributed parameter systems Iterative learning control cav_un_auth*0243458 Cichy B. PL K cav_un_auth*0213204 Augusta Petr UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0243459 Galkowski K. PL cav_un_auth*0228702 Rogers E. GB https://link.springer.com/article/10.1007/s11045-021-00780-1 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. WOS BC 20000 20200 20204 2022 4 4 A sml 4as 20231122145923.5 RVO:67985556 http://hdl.handle.net/11104/0322151 cav_un_auth*0413510 Municipal Department of Transport MDT PL cav_un_auth*0413511 Institute of Automation, Electronic and Electrical Engineering, University of Zielona Gora IA EEG PL cav_un_auth*0413512 School of Electronics and Computer Science, University of Southampton SECS US GB S Licence to Publish 20201208 3+4 Article Computer Science Theory Methods|Engineering Electrical Electronic C COMPUTERSCIENCE.THEORY&METHODS|ENGINEERING.ELECTRICAL&ELECTRONIC 1.749 0.754 3.8 0.00137 0.335 1115 48 0.452 36.63 2.35 571 Q3 1.960 57 Q2 44.3 Q4 Q3 0.54 Q2 51.364 2021 Soubory v repozitáři: augusta-0545245-PublicationAgreement.pdf 85107282077 SCOPUS PUBMED 000656382300001 WOS cav_un_epca*0257286 Multidimensional Systems and Signal Processing 0923-6082 1573-0824 Roč. 32 č. 1 2021 1237 1258 Springer