Comparison of Approaches for Identification of All-data Cloud-based Evolving Systems-Reference-Cited by-同舟云学术

Comparison of Approaches for Identification of All-data Cloud-based Evolving Systems

Published:2015 Issue:10 Volume:48 Page:129-134
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Blažič Sašo,Angelov Plamen,Škrjanc Igor

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference20 articles.

1. Fuzzy model- based predictive control by instantaneous linearization;Abonyi;Fuzzy Sets and Systems,2001

2. A simple fuzzy rule- based system through vector membership and kernel- based granulation;Angelov;5th IEEE International Conference on Intelligent Systems (IS),2010

3. Simplified fuzzy rule- based systems using non-parametric antecedents and relative data density;Angelov;(2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS),2011

4. An approach to online identification of Takagi-Sugeno fuzzy models;Angelov;IEEE Trans. Syst. Man Cyber. Part B,2004

5. Blazic, S., Dovzan, D., and Skrjanc, I. (2014). Cloud- based identification of an evolving system with supervisory mechanisms. In 2014 IEEE International Symposium on Intelligent Control (ISIC)1 1906-1911. doi: 10.1109/ISIC.2014.6967642.

Cited by 9 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. A CENTER MANIFOLD THEORY-BASED APPROACH TO THE STABILITY ANALYSIS OF STATE FEEDBACK TAKAGI-SUGENO-KANG FUZZY CONTROL SYSTEMS;Facta Universitatis, Series: Mechanical Engineering;2020-07-29

2. Incremental Fuzzy C-Regression Clustering From Streaming Data for Local-Model-Network Identification;IEEE Transactions on Fuzzy Systems;2020-04

3. An overview on evolving systems and learning from stream data;Evolving Systems;2020-03-16

4. Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey;Information Sciences;2019-07

5. Evolving Fuzzy Model for Fault Detection and Fault Identification of Dynamic Processes;Predictive Maintenance in Dynamic Systems;2019