Learning-based symbolic abstractions for nonlinear control systems
Work
Year: 2022
Type: article
Source: Automatica
Institutions Osaka University, Laboratoire des signaux et systèmes, National Institute of Informatics, KTH Royal Institute of Technology
Cites: 44
Cited by: 19
Related to: 10
FWCI: 3.434
Citation percentile (by year/subfield): 80.94
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green