|
|
|
Recent Issues
|
|
Volume 52
|
1
|
|
|
|
|
Volume 51
|
1
|
2
|
3
|
4
|
|
Volume 50
|
1
|
2
|
3
|
4
|
|
Volume 49
|
1
|
2
|
3
|
4
|
|
Volume 48
|
1
|
2
|
3
|
4
|
|
|
Vietnam
Journal of Mathematics 38:3 (2010) 341-351
|
|
A Novel Exponential Stability Condition for a Class of Hybrid Neural Networks with Time-varying Delay
|
|
P. Niamsup and V.N. Phat
|
|
Abstract.
This paper proposes a switching design for exponential stability of a
class of hybrid neural networks with time-varying delay and various
activation functions. By using time-varying delay Lyapunov-Krasovskii
functional, a switching rule for the exponential stability is designed in
terms of the solution of Riccati-type equations. The approach allows for
computation of the bounds that characterize the exponential stability
rate of the solution. An example is given to illustrate the result.
|
|
2000
Mathematics Subject Classification: 34D20, 37C75, 93D20.
|
|
Keywords:
Neural networks, swithched systems, exponential stability, time delay,
Lyapunov function, Riccati equation.
|
|
|
|
|
Established
by Vietnam Academy of Science and Technology & Vietnam Mathematical
Society
Published
by Springer since January 2013
|
|
