Study Establishes Stability and Lag-Synchronization in Generalized Fractional Neural Networks
Bioengineer.org Researchers have established algebraic criteria ensuring global Ï-Mittag-Leffler stability and lag-synchronization in a generalized class of impulsive fractional-order neural networks The mathematical investigation modeled impulsive Ï-Hilfer fractional-order neural networks incorporating both simple delays and continuous time-varying…