Sampling‐Based Event‐Triggered Control for Neutral‐Type Complex‐Valued Neural Networks with Partly Unknown Markov Jump and Time‐Varying Delay
Zhen Wang, Lianglin Xiong, Haiyang Zhang, Yingying Liu · Complexity · 2021
This work is devoted to studying the stochastic stabilization of a class of neutral‐type complex‐valued neural networks (CVNNs) with partly unknown Markov jump. Firstly, in order to reduce the conservation of our stability conditions, two integral inequalities are generalized to the complex‐valued domain. Secondly, a state‐feedback controller is designed to investigate the stability of the neutral‐type CVNNs with H∞ performance, making the stability problem a further extension, and then, the stabilization of the CVNNs with H∞ performance is investigated through a sampling‐based event‐triggered (SBET) control for the first time that the transmission event is not triggered except when it violates the event‐triggered condition. Finally, two examples are given to illustrate the validity and correctness of our obtained theorems.