Analysis of Markovian Jump Stochastic Cohen–Grossberg BAM Neural Networks with Time Delays for Exponential Input-to-State Stability
نویسندگان
چکیده
In this article, the Input-to-state stability theory is used to investigate stochastic Cohen–Grossberg bidirectional associative memory neural network with time-varying delay. addition, Markovian jump parameters are considered in model determine continuous-time, discrete-state Markov chain. By utilizing Lyapunov functional and weak infinitesimal generator algebraic conditions derived for criteria. end, a numerical example given show merits of method.
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ژورنال
عنوان ژورنال: Neural Processing Letters
سال: 2023
ISSN: ['1573-773X', '1370-4621']
DOI: https://doi.org/10.1007/s11063-023-11364-4