Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability

A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability

Thumbnail Image
Download
Name

2110.00693.pdf

Description
Accepted version
Size

987.51 KB

Format

Adobe PDF

Checksum (MD5)

a282485677815cafdf22e1e10a040836

sword-2022-09-09T17:17:35.original.xml (130 B)
Original SWORD entry document
Author(s)
Tsukamoto, Hiroyasu
•
Chung, Soon-Jo
•
Slotine, Jean-Jacques
•
Fan, Chuchu
Date Issued
2021
Journal
2021 60th IEEE Conference on Decision and Control (CDC)
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
Tsukamoto, Hiroyasu, Chung, Soon-Jo, Slotine, Jean-Jacques and Fan, Chuchu. 2021. "A Theoretical Overview of Neural Contraction Metrics for Learning-based Control with Guaranteed Stability." 2021 60th IEEE Conference on Decision and Control (CDC).
Version
Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Nonlinear Systems Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/145339
DOI of Published Version
https://doi.org/10.1109/CDC45484.2021.9682859
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.