Adaptive Exponential State Estimation for Markovian Jumping Neural Networks with Multi-delays and Levy Noises

摘要

This paper discusses the adaptive exponential state estimation problem of neutral-type neural networks with multi-delays and Levy noises. The M-matrix method being different from other methods, such as the LMIs method, has been applied to deal with the problem. According to the M-matrix method, some state estimation criteria for neural networks concerning neutral-type delays and no neutral-type delays are acquired to ensure the adaptive exponential estimation. Finally, a simulation example is offered to show the advantages of the theoretical results.