| Title |
A New Augmented Lyapunov Functional Approach to Robust Stability Criteria for Uncertain Fuzzy Neural Networks with Time-varying Delays |
| Authors |
권오민(Kwon, Oh-Min) ; 박명진(Park, Myeong-Jin) ; 이상문(Park, Ju-Hyun) ; 박주현(Lee, Sang-Moon) |
| DOI |
https://doi.org/10.5370/KIEE.2011.60.11.2119 |
| Keywords |
Neural networks ; Takagi-Sugeno systems ; Time-varying delay ; Stability ; Lyapunov method ; LMI |
| Abstract |
This paper proposes new delay-dependent robust stability criteria for neural networks with time-varying delays. By construction of a suitable Lyapunov-Krasovskii's (L-K) functional and use of Finsler's lemma, new stability criteria for the networks are established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. Two numerical examples are given to illustrate the effectiveness of the proposed methods. |