Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification
Author:
Affiliation:
1. College of Electrical and Information Engineering, Jiangsu University of Technology,Changzhou,China,213001
2. College of Electrical, Energy and Power Engineering, Yangzhou University,Yangzhou,China,225127
Funder
National Natural Science Foundation of China
Natural Science Foundation of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Artificial Intelligence,Information Systems,Control and Systems Engineering,Control and Optimization
Link
http://xplorestaging.ieee.org/ielx7/6570654/9864997/09865028.pdf?arnumber=9865028
Reference22 articles.
1. Blind maximum likelihood identification of Hammerstein systems
2. Parametric Identification of Parallel Hammerstein Systems
3. Aquila Optimizer: A novel meta-heuristic optimization algorithm
4. Dwarf Mongoose Optimization Algorithm
5. Ebola Optimization Search Algorithm: A New Nature-Inspired Metaheuristic Optimization Algorithm
Cited by 26 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. Identification for nonlinear systems modelled by deep long short-term memory networks based Wiener model;Mechanical Systems and Signal Processing;2024-11
2. Distributed identification based partially-coupled recursive generalized extended least squares algorithm for multivariate input–output-error systems with colored noises from observation data;Journal of Computational and Applied Mathematics;2024-10
3. Additional fractional gradient descent identification algorithm based on multi-innovation principle for autoregressive exogenous models;Scientific Reports;2024-08-27
4. Parameter learning of multi‐input multi‐output Hammerstein system with measurement noises utilizing combined signals;International Journal of Adaptive Control and Signal Processing;2024-06-04
5. Parameter learning for Wiener systems with time‐delay state‐space model;Asian Journal of Control;2024-06-04
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