State space black-box modelling via Markov parameters based on evolving type-2 neural-fuzzy inference system for nonlinear multivariable dynamic systems-Reference-Cited by-同舟云学术

State space black-box modelling via Markov parameters based on evolving type-2 neural-fuzzy inference system for nonlinear multivariable dynamic systems

Published:2020-09 Issue: Volume:394 Page:1-39
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Evangelista Anderson Pablo Freitas^ORCID,Serra Ginalber Luiz de Oliveira

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference56 articles.

1. Type-2 fuzzy sets made simple;Mendel;IEEE Trans. Fuzzy Syst.,2002

2. The concept of a linguistic variable and its application to approximate reasoning - 1;Zadeh;Inf. Sci.,1975

3. Introduction to type-2 fuzzy logic systems;Karnik,1998

4. Type-2 fuzzy logic systems;Karnik;IEEE Trans. Fuzzy Syst.,1999

5. Interval type-2 fuzzy logic systems: theory and design;Liang;IEEE Trans. Fuzzy Syst.,2000

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. Nonlinear Multivariable System Identification: A Novel Method Integrating T-S Identification and Multidimensional Membership Functions;Applied Sciences;2024-07-20

2. A self-organizing fuzzy neural network with hybrid learning algorithm for nonlinear system modeling;Information Sciences;2023-09

3. Incremental Learning Using an Evolving Type-2 Fuzzy State Observer Model for Non-Stationary System Identification with Noisy Data;2023

4. Type-2 fuzzy instrumental variable algorithm for evolving neural-fuzzy modeling of nonlinear dynamic systems in noisy environment;Engineering Applications of Artificial Intelligence;2022-03

5. A novel interval type-2 fuzzy Kalman filtering and tracking of experimental data;Evolving Systems;2021-04-28