Abstract
This paper considers the problem of global robust stability analysis for a class of bidirectional associative memory time-varying delayed neural networks with norm-bounded time-varying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing some relaxation matrices which can be chosen properly to lead to a less conservative result. Numerical examples are given to illustrate the significant improvement on the conservativeness of the delay bound over some reported results in the literature.
| Original language | English |
|---|---|
| Title of host publication | First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 |
| Pages | 591-594 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2006 Dec 1 |
| Event | 1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 - Beijing, United States Duration: 2006 Aug 30 → 2006 Sep 1 |
Publication series
| Name | First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 |
|---|
Other
| Other | 1st International Conference on Innovative Computing, Information and Control 2006, ICICIC'06 |
|---|---|
| Country | United States |
| City | Beijing |
| Period | 06-08-30 → 06-09-01 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Mechanical Engineering
Cite this
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A new delay-dependent approach to robust stability for uncertain hybrid bidirectional associative memory neural networks with time-varying delays. / Lu, Chien-Yu; Su, Te Jen; Shyr, Wen-Jye.
First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06. 2006. p. 591-594 1691869 (First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A new delay-dependent approach to robust stability for uncertain hybrid bidirectional associative memory neural networks with time-varying delays
AU - Lu, Chien-Yu
AU - Su, Te Jen
AU - Shyr, Wen-Jye
PY - 2006/12/1
Y1 - 2006/12/1
N2 - This paper considers the problem of global robust stability analysis for a class of bidirectional associative memory time-varying delayed neural networks with norm-bounded time-varying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing some relaxation matrices which can be chosen properly to lead to a less conservative result. Numerical examples are given to illustrate the significant improvement on the conservativeness of the delay bound over some reported results in the literature.
AB - This paper considers the problem of global robust stability analysis for a class of bidirectional associative memory time-varying delayed neural networks with norm-bounded time-varying parameter uncertainties. The activation functions are assumed to be globally Lipschitz continuous. Globally delay-dependent robust stability criteria are derived in the form of linear matrix inequalities by introducing some relaxation matrices which can be chosen properly to lead to a less conservative result. Numerical examples are given to illustrate the significant improvement on the conservativeness of the delay bound over some reported results in the literature.
UR - http://www.scopus.com/inward/record.url?scp=45849090395&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=45849090395&partnerID=8YFLogxK
U2 - 10.1109/ICICIC.2006.13
DO - 10.1109/ICICIC.2006.13
M3 - Conference contribution
AN - SCOPUS:45849090395
SN - 0769526160
SN - 9780769526164
T3 - First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06
SP - 591
EP - 594
BT - First International Conference on Innovative Computing, Information and Control 2006, ICICIC'06
ER -