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What is Exponential Stability in Complex BAM Networks about?

This paper explores the exponential stability of complex-valued Bidirectional Associative Memory (BAM) neural networks with time delays, incorporating stochastic and impulsive effects. The authors establish the existence and uniqueness of equilibrium points and derive novel stability conditions using Lyapunov-Krasovskii functionals and linear matrix inequalities. Two numerical examples are provided to demonstrate the effectiveness of the proposed theoretical results.

Author

c.maharajan

Language

EN