Comparing actor-critic deep reinforcement learning controllers for enhanced performance on a ball-and-plate system-Reference-Cited by-同舟云学术

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Comparing actor-critic deep reinforcement learning controllers for enhanced performance on a ball-and-plate system

Published:2024-07 Issue: Volume:245 Page:123055
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Udekwe Daniel^ORCID,Ajayi Ore-ofe,Ubadike Osichinaka^ORCID,Ter Kumater^ORCID,Okafor Emmanuel

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference33 articles.

1. Deep reinforcement learning for aircraft longitudinal control augmentation system;Adetifa;Nigerian Journal of Technology,2023

2. Implementation of a ball and plate control system using sliding mode control;Bang;IEEE Access,2018

3. Evolving a lookup table based motion controller for a ball-plate system with fault tolerant capabilites;Beckerleg,2016

4. Fuzzy and PID controllers applied to ball and plate system;Betancourt,2019

5. Fast and accurate deep network learning by exponential linear units (elus);Clevert,2015

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Entropy-Learning based virtual inertia control for VRFB regulation considering Phase-Locked loop dynamics;Expert Systems with Applications;2024-12

2. Digital Model of Automatic Plate Turning for Plate Mills Based on Machine Vision and Reinforcement Learning Algorithm;Metals;2024-06-14

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