Adaptive RBF Neural Network Control Method for Pneumatic Position Servo System
Author:
Publisher
Elsevier BV
Subject
Control and Systems Engineering
Reference26 articles.
1. Pneumatic Servo System Analysis and Control;Bai,2014
2. Experimental comparison of position tracking control algorithms for pneumatic cylinder actuators;Bone;IEEE/ASME Transactions on Mechatronics,2007
3. Sliding control of an electropneumatic actuator using an integral switching surface;Bouri;IEEE Transactions on Control Systems Technology,2001
4. Dynamic surface control using neural networks for a class of uncertain nonlinear systems with input saturation;Chen;IEEE Transactions on Neural networks and learning systems,2015
5. Derivative and integral terminal sliding mode control for a class of mimo nonlinear systems;Chiu;Automatica,2012
Cited by 7 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. Online identification and feed-forward compensation of nonlinear friction in servo system based on RBF neural network model;Transactions of the Canadian Society for Mechanical Engineering;2024-09-01
2. Robust adaptive backstepping neural networks fault tolerant control for mobile manipulator UAV with multiple uncertainties;Mathematics and Computers in Simulation;2024-04
3. Fixed-Time Self-Structuring Neuron Network-Based Adjustable Prescribed Performance Control for a Quadrotor UAV With Input Saturation;IEEE Access;2024
4. TRIPLE NONLINEAR HYPERBOLIC PID WITH STATIC FRICTION COMPENSATION FOR PRECISE POSITIONING OF A SERVO PNEUMATIC ACTUATOR;IIUM Engineering Journal;2023-07-04
5. Neuronowy generator wirtualnej zmiennej stanu w regulatorze prędkości układu dwumasowego;PRZEGLĄD ELEKTROTECHNICZNY;2023-05-19
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3