Fuzzy Neural Network Control System Design for Solar Water Heater

Proceedings of the 3rd Annual International Conference on Mechanics and Mechanical Engineering (MME 2016) ◽

10.2991/mme-16.2017.86 ◽

2017 ◽

Author(s):

Zhi-Da Zhu ◽

Li Zeng ◽

Fan Zhang

Keyword(s):

Neural Network ◽

Control System ◽

System Design ◽

Fuzzy Neural Network ◽

Network Control ◽

Control System Design ◽

Neural Network Control ◽

Solar Water Heater ◽

Water Heater ◽

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Robust fuzzy-neural-network control for two-axis motion control system based on TMS320C32 control computer

IEEE International Conference on Mechatronics, 2005. ICM '05. ◽

10.1109/icmech.2005.1529328 ◽

2005 ◽

Author(s):

Faa-Jeng Lin ◽

Po-Hung Shen

Keyword(s):

Neural Network ◽

Control System ◽

Motion Control ◽

Fuzzy Neural Network ◽

Network Control ◽

Neural Network Control ◽

Motion Control System ◽

Control Computer ◽

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Supervisory recurrent fuzzy neural network control for vehicle collision avoidance system design

Neural Computing and Applications ◽

10.1007/s00521-012-1098-8 ◽

2012 ◽

Vol 21 (8) ◽

pp. 2163-2169 ◽

Author(s):

Yi-Jen Mon ◽

Chih-Min Lin

Keyword(s):

Neural Network ◽

System Design ◽

Collision Avoidance ◽

Fuzzy Neural Network ◽

Network Control ◽

Neural Network Control ◽

Vehicle Collision ◽

Fuzzy Neural ◽

Collision Avoidance System ◽

Recurrent Fuzzy Neural Network

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Adaptive Fuzzy Neural Network Control System in Cylindrical Grinding Process

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.426-427.220 ◽

2010 ◽

Vol 426-427 ◽

pp. 220-224

Author(s):

X.M. Li ◽

Ning Ding

Keyword(s):

Neural Network ◽

Control System ◽

Fuzzy Neural Network ◽

Network Control ◽

Grinding Process ◽

Neural Network Control ◽

Network Control System ◽

Cylindrical Grinding ◽

Adaptive Fuzzy Neural Network ◽

An adaptive fuzzy neural network control system in cylindrical grinding process was proposed. In this system, the initial cylindrical grinding parameters were decided by the expert system based on fuzzy neural network. Multi-feed and setting overshoot optimization methods were also adopted during the grinding process, and a human machine cooperation system (composed of human and two fuzzy – neural networks) could revise the process parameters in real-time. The experiment of the cylindrical grinding was implemented. The results showed that this control system was valid, and could greatly improve the cylindrical grinding quality and machining efficiency.

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Fuzzy neural network control for nonlinear networked control system

2009 Chinese Control and Decision Conference ◽

10.1109/ccdc.2009.5192224 ◽

2009 ◽

Author(s):

E. Da-zhi ◽

Feng Pan ◽

Da-li Chen ◽

Ding-yu Xue

Keyword(s):

Neural Network ◽

Control System ◽

Fuzzy Neural Network ◽

Networked Control System ◽

Network Control ◽

Networked Control ◽

Neural Network Control ◽

Fuzzy Neural ◽

Nonlinear Networked Control System

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Self-Organizing Recurrent Wavelet Fuzzy Neural Network-Based Control System Design for MIMO Uncertain Nonlinear Systems Using TOPSIS Method

International Journal of Fuzzy Systems ◽

10.1007/s40815-018-0550-z ◽

2018 ◽

Vol 21 (2) ◽

pp. 468-487 ◽

Author(s):

Tuan-Tu Huynh ◽

Tien-Loc Le ◽

Chih-Min Lin

Keyword(s):

Neural Network ◽

Control System ◽

Nonlinear Systems ◽

System Design ◽

Fuzzy Neural Network ◽

Control System Design ◽

Uncertain Nonlinear Systems ◽

Topsis Method ◽

Fuzzy Neural ◽

Self Organizing

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The reserch of variable structure fuzzy neural network control system

2016 IEEE International Conference of Online Analysis and Computing Science (ICOACS) ◽

10.1109/icoacs.2016.7563095 ◽

2016 ◽

Author(s):

Qiu Huanyao

Keyword(s):

Neural Network ◽

Control System ◽

Fuzzy Neural Network ◽

Variable Structure ◽

Network Control ◽

Neural Network Control ◽

Network Control System ◽

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Modeling and Simulation of Fuzzy Neural Network Control System of Penetration in Titanium-alloy Electron Beam Welding

Journal of Mechanical Engineering ◽

10.3901/jme.2012.10.028 ◽

2012 ◽

Vol 48 (10) ◽

pp. 28 ◽

Author(s):

Mingxiao SHI

Keyword(s):

Neural Network ◽

Titanium Alloy ◽

Electron Beam ◽

Control System ◽

Modeling And Simulation ◽

Fuzzy Neural Network ◽

Electron Beam Welding ◽

Network Control ◽

Neural Network Control ◽

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A Fuzzy Neural Network Control System Based on Embedded System

2007 International Conference on Mechatronics and Automation ◽

10.1109/icma.2007.4303929 ◽

2007 ◽

Author(s):

Xiaoying Meng ◽

Yuening Tang ◽

Yan Li ◽

Jia He

Keyword(s):

Neural Network ◽

Control System ◽

Embedded System ◽

Fuzzy Neural Network ◽

Network Control ◽

Neural Network Control ◽

Network Control System ◽

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Improved RBF Neural Network Control System Design for Helicopter of Large Envelope

2018 International Conference on Control and Robots (ICCR) ◽

10.1109/iccr.2018.8534495 ◽

2018 ◽

Author(s):

Liu Gaoyuan ◽

Wu Mei ◽

Adnan Ashraf

Keyword(s):

Neural Network ◽

Control System ◽

System Design ◽

Rbf Neural Network ◽

Network Control ◽

Control System Design ◽

Neural Network Control ◽

Network Control System

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Indirect Adaptive Self-structuring Fuzzy Neural Network Control System

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.130.1882 ◽

2010 ◽

Vol 130 (10) ◽

pp. 1882-1887

Author(s):

Yoshihiro Makino ◽

Masanao Obayashi ◽

Takashi Kuremoto ◽

Kunikazu Kobayashi

Keyword(s):

Neural Network ◽

Control System ◽

Fuzzy Neural Network ◽

Network Control ◽

Neural Network Control ◽

Network Control System ◽

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