Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)

One neural networks model for Lyapunov matrix inequalities

Authors
Shiheng Wang, Jia Sun, Ke Wang
Corresponding Author
Shiheng Wang
Available Online July 2017.
DOI
10.2991/icadme-16.2016.23How to use a DOI?
Keywords
Zhang neural networks (ZNN), linear matrix inequality (LMI), Lyapunov matrix inequality.
Abstract

One kind of recurrent neural networks - Zhang neural networks (ZNN) is studied for solving a set of linear matrix inequalities - Lyapunov matrix inequalities.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
Series
Advances in Engineering Research
Publication Date
July 2017
ISBN
978-94-6252-249-7
ISSN
2352-5401
DOI
10.2991/icadme-16.2016.23How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shiheng Wang
AU  - Jia Sun
AU  - Ke Wang
PY  - 2017/07
DA  - 2017/07
TI  - One neural networks model for Lyapunov matrix inequalities
BT  - Proceedings of the 2016 6th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2017)
PB  - Atlantis Press
SP  - 174
EP  - 177
SN  - 2352-5401
UR  - https://doi.org/10.2991/icadme-16.2016.23
DO  - 10.2991/icadme-16.2016.23
ID  - Wang2017/07
ER  -