Reachable Set Estimation for Memristive Complex-Valued Neural Networks With Disturbances
Song Zhu, Yu Xin Gao, Yuxin Hou, Chunyu Yang · IEEE Transactions on Neural Networks and Learning Systems · 2022
This brief focuses on reachable set estimation for memristive complex-valued neural networks (MCVNNs) with disturbances. Based on algebraic calculation and Gronwall-Bellman inequality, the states of MCVNNs with bounded input disturbances converge within a sphere. From this, the convergence speed is also obtained. In addition, an observer for MCVNNs is designed. Two illustrative simulations are also given to show the effectiveness of the obtained conclusions.