SAITO AKIRA
   Department   Undergraduate School  , School of Science and Technology
   Position   Associate Professor
Language English
Publication Date 2024/06
Type Academic Journal
Peer Review Peer reviewed
Title Data-Driven Initial Gap Identification of Piecewise-Linear Systems Using Sparse Regression and Universal Approximation Theorem
Contribution Type Co-authored (other than first author)
Journal Journal of Computational and Nonlinear Dynamics
Journal TypeAnother Country
Publisher ASME
Volume, Issue, Page 19(6),pp.061003
Total page number 13 pages
Authorship Corresponding author
Author and coauthor Ryosuke Kanki and Akira Saito