Article ID Journal Published Year Pages File Type
407395 Neurocomputing 2016 6 Pages PDF
Abstract

In this paper, the problem on the global exponential stability of complex-valued neural networks with both leakage delay and time-varying delays on time scales is discussed. By constructing appropriate Lyapunov–Krasovskii functionals and using matrix inequality technique, a delay-dependent condition to assure the global exponential stability for the considered neural networks is established. The condition is expressed in complex-valued linear matrix inequality, which can be checked numerically using the effective YALMIP toolbox in MATLAB. An example with simulations is given to show the effectiveness of the obtained result.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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