A novel zeroing neural network for dynamic sylvester equation solving and robot trajectory tracking

A novel zeroing neural network for dynamic sylvester equation solving and robot trajectory tracking

To solve the theoretical solution of dynamic Sylvester equation (DSE), we use a fast convergence zeroing neural network (ZNN) system to solve the time-varying problem. In this paper, a new activation function (AF) is proposed to ensure fast convergence in predefined times, as well as its robustness...

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Bibliographic Details
Main Authors: Lv Zhao, Huaiyuan Shao, Xiaolei Yang, Xin Liu, Zhijun Tang, Hairong Lin
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Physics
Subjects:
dynamic sylvester equation
zeroing neural network
predefined-time convergence
robustness
activation function
robot trajectory tracking
Online Access:https://www.frontiersin.org/articles/10.3389/fphy.2023.1133745/full

Internet

https://www.frontiersin.org/articles/10.3389/fphy.2023.1133745/full

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