Global Exponential Stability of Fractional Order Complex-Valued Neural Networks with Leakage Delay and Mixed Time Varying Delays
M. Hymavathi, G. Muhiuddin, Muhammed Syed Ali, Jehad F. Al‐Amri, Nallappan Gunasekaran, Rajarathinam Vadivel · Fractal and Fractional · 2022
This paper investigates the global exponential stability of fractional order complex-valued neural networks with leakage delay and mixed time varying delays. By constructing a proper Lyapunov-functional we established sufficient conditions to ensure global exponential stability of the fractional order complex-valued neural networks. The stability conditions are established in terms of linear matrix inequalities. Finally, two numerical examples are given to illustrate the effectiveness of the obtained results.