Type-2 fuzzy instrumental variable algorithm for evolving neural-fuzzy modeling of nonlinear dynamic systems in noisy environment

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2021.104620 ◽

2022 ◽

Vol 109 ◽

pp. 104620

Author(s):

Anderson Pablo Freitas Evangelista ◽

Ginalber Luiz de Oliveira Serra

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Instrumental Variable ◽

Fuzzy Modeling ◽

Nonlinear Dynamic Systems ◽

Noisy Environment ◽

Neural Fuzzy

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MATLAB Implementation of an Adaptive Neuro-Fuzzy Modeling Approach applied on Nonlinear Dynamic Systems – a Case Study

Proceedings of the 2018 Federated Conference on Computer Science and Information Systems ◽

10.15439/2018f38 ◽

2018 ◽

Author(s):

Roxana-Elena Tudoroiu ◽

Mohammed Zaheeruddin ◽

Nicolae Tudoroiu ◽

Dumitru Dan Burdescu

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Fuzzy Modeling ◽

Nonlinear Dynamic Systems ◽

Modeling Approach ◽

Neuro Fuzzy ◽

Matlab Implementation

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Modeling of unstructured uncertainties and robust controlling of nonlinear dynamic systems based on type-2 fuzzy basis function networks

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2016.03.010 ◽

2016 ◽

Vol 53 ◽

pp. 74-85 ◽

Cited By ~ 8

Author(s):

Phuong D. Ngo ◽

Yung C. Shin

Keyword(s):

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems

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A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2016.7844235 ◽

2016 ◽

Author(s):

Saima Hassan ◽

Mojtaba A. Khanesar ◽

Jafreezal Jaafar ◽

Abbas Khosravi

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Genetic Type ◽

Learning System ◽

Nonlinear Dynamic Systems ◽

Multi Objective

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Online data-driven fuzzy modeling for nonlinear dynamic systems

2005 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2005.1527389 ◽

2005 ◽

Author(s):

Wan-Jun Hao ◽

Wen-Yi Qiang ◽

Qing-Xuan Chai ◽

Jie-Lai Tang

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Fuzzy Modeling ◽

Data Driven ◽

Nonlinear Dynamic Systems ◽

Online Data

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Identification of Nonlinear Dynamic Systems Using Type-2 Fuzzy Neural Networks—A Novel Learning Algorithm and a Comparative Study

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2014.2345353 ◽

2015 ◽

Vol 62 (3) ◽

pp. 1716-1724 ◽

Cited By ~ 55

Author(s):

Erkan Kayacan ◽

Erdal Kayacan ◽

Mojtaba Ahmadieh Khanesar

Keyword(s):

Neural Networks ◽

Comparative Study ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Learning Algorithm ◽

Fuzzy Neural Networks ◽

Nonlinear Dynamic Systems ◽

Fuzzy Neural

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A new approach to fuzzy modeling of nonlinear dynamic systems with noise: relevance vector learning mechanism

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2005.864083 ◽

2006 ◽

Vol 14 (2) ◽

pp. 222-231 ◽

Cited By ~ 31

Author(s):

Jongcheol Kim ◽

Y. Suga ◽

S. Won

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Fuzzy Modeling ◽

Nonlinear Dynamic Systems ◽

New Approach ◽

Learning Mechanism

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A Novel Approach to T-S Fuzzy Modeling of Nonlinear Dynamic Systems with Uncertainties using Symbolic Interval-Valued Outputs

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2015.12.294 ◽

2015 ◽

Vol 48 (28) ◽

pp. 1196-1201 ◽

Cited By ~ 1

Author(s):

Salman Zaidi ◽

Andreas Kroll

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Fuzzy Modeling ◽

Nonlinear Dynamic Systems ◽

Novel Approach ◽

Interval Valued

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Recovery of State Vector of Nonlinear Dynamic Systems

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v39.i9.10 ◽

2007 ◽

Vol 39 (9) ◽

pp. 1-15

Author(s):

Vsevold M. Kuntsevich

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

State Vector ◽

Nonlinear Dynamic Systems

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Nonparametric Models for Nonlinear Dynamic Systems: A Case Study

10.23919/acc.1990.4790816 ◽

1990 ◽

Author(s):

Alexander A. Georgiev

Keyword(s):

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Nonparametric Models

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Change detection in partially observed nonlinear dynamic systems with unknown change parameters

Proceedings of the 2004 American Control Conference ◽

10.23919/acc.2004.1384709 ◽

2004 ◽

Cited By ~ 2

Author(s):

N. Vaswani

Keyword(s):

Change Detection ◽

Dynamic Systems ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Partially Observed

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