Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route

Volume: 34, Issue: 6, Pages: 2781 - 2790
Published: Jun 1, 2023
Abstract
Controlling and processing of time-variant problem is universal in the fields of engineering and science, and the discrete-time recurrent neural network (RNN) model has been proven as an effective method for handling a variety of discrete time-variant problems. However, such model usually originates from the discretization research of continuous time-variant problem, and there is little research on the direct discretization method. To address...
Paper Details
Title
Novel Discrete-Time Recurrent Neural Network for Robot Manipulator: A Direct Discretization Technical Route
Published Date
Jun 1, 2023
Journal
Volume
34
Issue
6
Pages
2781 - 2790
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