Data-driven control of nonlinear systems: an online sequential approach

DOI10.1016/j.sysconle.2024.105932MaRDI QIDQ6648492

Yunshen Huang, M. N. Vu, Shen Zeng

Publication date: 4 December 2024

Published in: Systems \& Control Letters (Search for Journal in Brave)

zbMATH Keywords

neural networksnonlinear dynamicsphysical experimentsiterative synthesismodel-based learning control

Mathematics Subject Classification ID

Systems theory; control (93-XX)

Cites Work

• Unnamed Item
• Unnamed Item
• Adaptive control. Algorithms, analysis and applications.
• Multilayer feedforward networks are universal approximators
• From model-based control to data-driven control: survey, classification and perspective
• An Algorithm for Least-Squares Estimation of Nonlinear Parameters
• Learning Koopman Eigenfunctions and Invariant Subspaces From Data: Symmetric Subspace Decomposition
• Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
• Convex analysis and monotone operator theory in Hilbert spaces
• Generalizing dynamic mode decomposition: balancing accuracy and expressiveness in Koopman approximations
• The Elements of Statistical Learning

This page was built for publication: Data-driven control of nonlinear systems: an online sequential approach