Exponential Stability of Neutral-Type Impulsive Markovian Jump Neural Networks with General Incomplete Transition Rates

摘要

This paper is devoted to the investigation of exponential stability of Neutral-type impulsive Markovian jump neural networks with mixed time-varying delays and generally uncertain transition rates (GUTRs). Each transition rate can be completely unknown or only its estimate value is known in this GUTR model. This new uncertain model is more general than the existing ones. By utilizing Lyapunov–Krasovkii functional approach and linear matrix inequality technology, some novel globally exponentially stable results are derived. An example is given to show the effectiveness of the obtained results.