ℋ∞ Stability Conditions for Fuzzy Neural Networks. (15th February 2012)
- Record Type:
- Journal Article
- Title:
- ℋ∞ Stability Conditions for Fuzzy Neural Networks. (15th February 2012)
- Main Title:
- ℋ∞ Stability Conditions for Fuzzy Neural Networks
- Authors:
- Ahn, Choon Ki
- Other Names:
- Kilic Kemal Academic Editor.
- Abstract:
- Abstract : This paper presents a novel approach to assess the stability of fuzzy neural networks. First, we propose a new condition for theℋ ∞ stability of fuzzy neural networks. Second, a newℋ ∞ stability condition based on linear matrix inequality (LMI) is presented for fuzzy neural networks. These conditions also ensure asymptotic stability without external input.
- Is Part Of:
- Advances in fuzzy systems. Volume 2012(2012)
- Journal:
- Advances in fuzzy systems
- Issue:
- Volume 2012(2012)
- Issue Display:
- Volume 2012, Issue 2012 (2012)
- Year:
- 2012
- Volume:
- 2012
- Issue:
- 2012
- Issue Sort Value:
- 2012-2012-2012-0000
- Page Start:
- Page End:
- Publication Date:
- 2012-02-15
- Subjects:
- Fuzzy systems -- Periodicals
Systèmes flous
Fuzzy systems
Periodicals
511.313 - Journal URLs:
- https://www.hindawi.com/journals/afs/ ↗
http://bibpurl.oclc.org/web/50278 ↗ - DOI:
- 10.1155/2012/281821 ↗
- Languages:
- English
- ISSNs:
- 1687-7101
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10309.xml