𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Stability in delayed Cohen–Grossberg neural networks: LMI optimization approach

✍ Scribed by Jinde Cao; Xiaolin Li


Book ID
108240367
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
604 KB
Volume
212
Category
Article
ISSN
0167-2789

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Global asymptotic stability of stochasti
✍ Xiaodi Li; Xilin Fu 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 280 KB

In this paper, we consider the stochastic Cohen-Grossberg-type BAM neural networks with mixed delays. By utilizing the Lyapunov-Krasovskii functional and the linear matrix inequality (LMI) approach, some sufficient LMI-based conditions are obtained to guarantee the global asymptotic stability of sto

Exponential stability of Cohen–Grossberg
✍ Xiaofeng Liao; Jiyun Yang; Songtao Guo 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 169 KB

The exponential stability characteristics of the Cohen-Grossberg neural networks with discrete delays are studied in this paper, without assuming the symmetry of connection matrix as well as the monotonicity and differentiability of the activation functions and the self-signal functions. By construc

Stability of Cohen–Grossberg neural netw
✍ Tingwen Huang; Andrew Chan; Yu Huang; Jinde Cao 📂 Article 📅 2007 🏛 Elsevier Science 🌐 English ⚖ 252 KB

In this paper, we investigate the existence and stability of the equilibrium point of Cohen-Grossberg neural networks with time-varying delays. Under easily verified conditions, exponential stability is obtained when the delay is finite, while asymptotic stability is obtained when the delay is infin