Neuro Genetic Fuzzy System For Gain Scheduling Adaptive Control Design

Sixth International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2006.203 ◽

2006 ◽

Author(s):

Ginalber Serra ◽

Celso Bottura

Keyword(s):

Adaptive Control ◽

Fuzzy System ◽

Control Design ◽

Gain Scheduling ◽

Genetic Fuzzy System

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Adaptive Control Design of Neural Fuzzy System for NARMA-L2 Model

2006 6th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2006.1712875 ◽

2006 ◽

Author(s):

Zhi Liu ◽

Yun Zhang

Keyword(s):

Adaptive Control ◽

Fuzzy System ◽

Control Design ◽

Neural Fuzzy

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Design of gain scheduling anti-sway crane controler using genetic fuzzy system

2012 17th International Conference on Methods & Models in Automation & Robotics (MMAR) ◽

10.1109/mmar.2012.6347822 ◽

2012 ◽

Cited By ~ 7

Author(s):

Jaroslaw Smoczek ◽

Janusz Szpytko

Keyword(s):

Fuzzy System ◽

Gain Scheduling ◽

Genetic Fuzzy System

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Robust Gain Scheduling Control Design in Frequency Domain

International Review of Automatic Control (IREACO) ◽

10.15866/ireaco.v7i5.3086 ◽

2014 ◽

Vol 7 (5) ◽

pp. 476 ◽

Cited By ~ 1

Author(s):

Jakub Osuský ◽

Vojtech Veselý

Keyword(s):

Frequency Domain ◽

Control Design ◽

Gain Scheduling ◽

Gain Scheduling Control

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Linear Robust Adaptive Control Design Using a Nonlinear Approach

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)58500-6 ◽

1996 ◽

Vol 29 (1) ◽

pp. 5162-5167 ◽

Cited By ~ 1

Author(s):

Youping Zhang ◽

Petros A. Ioannou

Keyword(s):

Adaptive Control ◽

Control Design ◽

Robust Adaptive Control ◽

Nonlinear Approach ◽

Robust Adaptive

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Adaptive Control Design for Underactuated Cranes with Guaranteed Transient Performance: Theoretical Design and Experimental Verification

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2021.3065835 ◽

2021 ◽

pp. 1-1

Author(s):

Jiang-Shuai Huang ◽

Wei Wang ◽

Jing Zhou

Keyword(s):

Adaptive Control ◽

Experimental Verification ◽

Control Design ◽

Transient Performance ◽

Theoretical Design

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Adaptive control design using delayed dynamical neural networks for a class of nonlinear systems

Proceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (Cat. No.01CH37164) ◽

10.1109/robot.2001.933151 ◽

2002 ◽

Author(s):

Wen-Shyong Yu ◽

Gwo-Chuan Wang

Keyword(s):

Neural Networks ◽

Adaptive Control ◽

Nonlinear Systems ◽

Control Design ◽

Dynamical Neural Networks

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L1 Adaptive Control Design for Improved Handling of the F/A-18 class of Aircraft

AIAA Guidance, Navigation, and Control (GNC) Conference ◽

10.2514/6.2013-5236 ◽

2013 ◽

Cited By ~ 2

Author(s):

Leena Singh ◽

Piero Miotto ◽

Louis S. Breger

Keyword(s):

Adaptive Control ◽

Control Design ◽

L1 Adaptive Control

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A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2011.2131657 ◽

2011 ◽

Vol 19 (4) ◽

pp. 666-681 ◽

Cited By ~ 113

Author(s):

Rafael Alcala ◽

María José Gacto ◽

Francisco Herrera

Keyword(s):

Fuzzy System ◽

Fuzzy Modeling ◽

High Dimensional ◽

Genetic Fuzzy System ◽

High Dimensional Regression ◽

Regression Problems ◽

Linguistic Fuzzy Modeling

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Nonlinear and Adaptive Control Design [Book Review]

IEEE Transactions on Automatic Control ◽

10.1109/tac.1996.545757 ◽

1996 ◽

Vol 41 (12) ◽

pp. 1849 ◽

Cited By ~ 3

Author(s):

D. Mayne

Keyword(s):

Adaptive Control ◽

Control Design

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Genetic fuzzy system for predictive and decision support modelling in e-learning

International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2010.5584229 ◽

2010 ◽

Cited By ~ 2

Author(s):

Angela Nebot ◽

Francisco Mugica ◽

Felix Castro ◽

Jesus Acosta

Keyword(s):

Decision Support ◽

Fuzzy System ◽

Genetic Fuzzy System ◽

E Learning

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