Aug 27, 2023 · In this paper, an adaptive backstepping terminal sliding mode control (ABTSMC) method based on a double hidden layer recurrent neural ...
In this paper, an adaptive backstepping terminal sliding mode control (ABTSMC) method based on a double hidden layer recurrent neural network ( ...
In this paper, an adaptive backstepping terminal sliding mode control ... Adaptive Neural Backstepping Terminal Sliding Mode Control of a DC-DC Buck Converter.
Apr 15, 2024 · This paper proposes an advanced control approach to controlling a DC-DC buck converter for a proton exchange membrane (PEM) electrolyzer ...
An adaptive backstepping terminal sliding mode control (ABTSMC) method based on a double hidden layer recurrent neural network (DHLRNN) is proposed for a ...
This paper proposes an advanced control approach to controlling a DC-DC buck converter for a proton exchange membrane (PEM) electrolyzer within the framework of ...
In this paper, an adaptive backstepping terminal sliding mode control ... Adaptive Neural Backstepping Terminal Sliding Mode Control of a DC-DC Buck Converter.
This paper proposes a novel control technique for the Buck type DC-DC converters using adaptive backstepping control and Chebyshev neural network.
To improve the trajectory tracking accuracy of AUV, an adaptive backstepping terminal sliding mode control based on recurrent neural networks (RNN) is proposed.
People also ask
What are the various control methods for DC-DC buck converter?
What is a DC buck converter used for?
What is the difference between DC-DC converter and buck converter?
How does a DC to DC step-down converter work?
Nov 1, 2023 · Zernike radial neural network (ZRNN)-adaptive control is proposed for output voltage regulation in dc-dc buck converter.