A Data-Driven ILC Framework for a Class of Nonlinear Discrete-Time Systems

Medientyp: E-Artikel
Titel: A Data-Driven ILC Framework for a Class of Nonlinear Discrete-Time Systems
Beteiligte: Yu, Xian; Hou, Zhongsheng; Polycarpou, Marios M.
Erschienen: Institute of Electrical and Electronics Engineers (IEEE), 2022
Erschienen in: IEEE Transactions on Cybernetics
Sprache: Nicht zu entscheiden
DOI: 10.1109/tcyb.2020.3029596
ISSN: 2168-2267; 2168-2275
Schlagwörter: Electrical and Electronic Engineering ; Computer Science Applications ; Human-Computer Interaction ; Information Systems ; Control and Systems Engineering ; Software
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