Solving Time-Varying Complex-Valued Sylvester Equation via Adaptive Coefficient and Non-Convex Projection Zeroing Neural Network

The time-varying complex-valued Sylvester equation (TVCVSE) often appears in many fields such as control and communication engineering. Classical recurrent neural network (RNN) models (e.g., gradient neural network (GNN) and zeroing neural network (ZNN)) are often used to solve such problems. This p...

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Bibliographic Details
Main Authors: Jiahao Wu, Chengze Jiang, Baitao Chen, Qixiang Mei, Xiuchun Xiao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9551969/