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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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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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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Identification of nonlinear dynamic systems classical methods versus radial basis function networks

Proceedings of 1995 American Control Conference - ACC'95 ◽

10.1109/acc.1995.533847 ◽

2005 ◽

Cited By ~ 12

Author(s):

O. Nelles ◽

R. Isermann

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Radial Basis Function Networks ◽

Radial Basis

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On training radial basis function networks as series-parallel and parallel models for identification of nonlinear dynamic systems

1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century ◽

10.1109/icsmc.1995.538522 ◽

2002 ◽

Cited By ~ 1

Author(s):

O. Nelles

Keyword(s):

Radial Basis Function ◽

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Radial Basis Function Networks ◽

Radial Basis ◽

Parallel Models

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Identification of nonlinear dynamic systems using convex combinations of multiple adaptive radius basis function networks

Measurement ◽

10.1016/j.measurement.2012.08.022 ◽

2013 ◽

Vol 46 (1) ◽

pp. 628-638 ◽

Cited By ~ 5

Author(s):

Xiangping Zeng ◽

Haiquan Zhao ◽

Weidong Jin ◽

Zhengyou He ◽

Tianrui Li

Keyword(s):

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Nonlinear Dynamic Systems ◽

Adaptive Radius

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Analysis of minimal radial basis function network algorithm for real-time identification of nonlinear dynamic systems

IEE Proceedings - Control Theory and Applications ◽

10.1049/ip-cta:20000549 ◽

2000 ◽

Vol 147 (4) ◽

pp. 476-484 ◽

Cited By ~ 70

Author(s):

Y. Li ◽

P. Saratchandran ◽

N. Sundararajan

Keyword(s):

Radial Basis Function ◽

Real Time ◽

Dynamic Systems ◽

Basis Function ◽

Nonlinear Dynamic ◽

Radial Basis Function Network ◽

Nonlinear Dynamic Systems ◽

Radial Basis ◽

Real Time Identification ◽

Function Network

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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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