Adaptive synchronization for stochastic T-S fuzzy neural networks with time-delay and Markovian jumping parameters

摘要

This paper concerned with the adaptive synchronization for Takagi-Sugeno (T-S) fuzzy neural networks with stochastic noises and Markovian jumping parameters. By using a new nonnegative function and an M-matrix method, several sufficient conditions are derived to ensure the adaptive synchronization for stochastic T-S fuzzy neural networks. Moreover, the adaptive controller and parameter update laws are designed via adaptive feedback control methods. Finally, a numerical example is given to illustrate the effectiveness of proposed theories.