We establish stability results for a class of biological networks with different time-scales under parameter perturbations and determine conditions that ...

Stability results for a class of biological networks with different time-scales under parameter perturbations are established and conditions that ensure the ...

Global uniform stability analysis of biological networks with different time-scales under perturbations. Meyer-Baese A., Cappendijk S., Althaus E. Expand.

Jul 14, 2009 · In this paper biological networks are formulated as coupled nonlinear differential systems operating at different time-scales under vanishing ...

We prove local uniform stability for a class of parametric uncertain competitive multi-time scale neural networks and determine the conditions under which ...

In this paper biological networks are formulated as coupled nonlinear differential systems operating at different time-scales under vanishing perturbations. In ...

In this paper biological networks are formulated as coupled nonlinear differential systems operating at different time-scales under vanishing perturbations.

Using a quadratic-type Lyapunov function for the flow of a CNN with different time scales as a global stability method, the authors studied the local stability ...

We establish robust stability results for competitive neural networks with different time-scales under parameter perturbations and determine conditions that ...

Global asymptotic stability analysis of two-time-scale competitive neural networks with time-varying delays · Computer Science, Mathematics. Neurocomputing · 2018.