Lagrange $$p$$p-Stability and Exponential $$p$$p-Convergence for Stochastic Cohen–Grossberg Neural Networks with Time-Varying Delays

TLDR

Some sufficient conditions are derived to guarantee Lagrange stability and the state variables of the discussed stochastic Cohen–Grossberg neural networks with time-varying delays to converge, globally, uniformly, exponentially to a ball in the state space with a pre-specified convergence rate.

Lagrange $pppp−StabilityandExponentialp-Stability and Exponential p−StabilityandExponentialppp$p-Convergence for Stochastic Cohen–Grossberg Neural Networks with Time-Varying Delays

TLDR

Lagrange $ $p$ $p-Stability and Exponential$ $p$ $p-Convergence for Stochastic Cohen–Grossberg Neural Networks with Time-Varying Delays