Mean Square Exponential Stability of Hybrid Neural Networks with Uncertain Switching Probabilities
This paper is concerned with the global exponential stability problem for a class of Markovian jumping recurrent neural networks (MJRNNs) with uncertain switching probabilities. The Markovian jumping recurrent neural networks under consideration involve parameter uncertainties in the mode transition rate matrix. By employing a Lyapunov functional, a linear matrix inequality (LMI) approach is developed to establish an easy-totest and delay-independent sufficient condition which guarantees that the dynamics of the neural network is globally exponentially stable in the mean square.
KeywordsHybrid neural networks Markovian jumping exponential stability
Unable to display preview. Download preview PDF.
- 11.Xie, L.: Stochastic Robust Stability Analysis for Markovian Jumping Neural Networks with Time Delays, Networking. In: Proceedings IEEE Sensing and Control, pp. 923–928, March 19-22 (2005)Google Scholar