Fuzzy Model Based Predictive Controller

1997 ◽  
pp. 173-196 ◽  
Author(s):  
C. Batur ◽  
C.-C. Chan ◽  
A. Srinivasan
Keyword(s):  
Fuzzy Model ◽  
Model Based ◽  
Predictive Controller

An Adaptive Takagi–Sugeno Fuzzy Model-Based Predictive Controller for Piezoelectric Actuators

2017 ◽  
Vol 64 (4) ◽  
pp. 3048-3058 ◽  
Author(s):  
Long Cheng ◽  
Weichuan Liu ◽  
Zeng-Guang Hou ◽  
Tingwen Huang ◽  
Junzhi Yu ◽  
...  
Keyword(s):  
Fuzzy Model ◽  
Piezoelectric Actuators ◽  
Model Based ◽  
Predictive Controller ◽  
Takagi Sugeno

scholarly journals An Adaptive Takagi–Sugeno Fuzzy Model-Based Generalized Predictive Controller for Pumped-Storage Unit

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 103538-103555 ◽  
Author(s):  
Jianzhong Zhou ◽  
Nan Zhang ◽  
Chaoshun Li ◽  
Yongchuan Zhang ◽  
Xinjie Lai
Keyword(s):  
Fuzzy Model ◽  
Storage Unit ◽  
Model Based ◽  
Predictive Controller ◽  
Pumped Storage ◽  
Takagi Sugeno

Dynamic fuzzy model based predictive controller for a biochemical reactor

2000 ◽  
Vol 23 (2) ◽  
pp. 0113-0120 ◽  
Author(s):  
Ch. Venkateswarlu ◽  
K. V. S. Naidu
Keyword(s):  
Fuzzy Model ◽  
Model Based ◽  
Predictive Controller ◽  
Biochemical Reactor

Fuzzy Modeling to Simulate Surface Roughness in CNC Turning of AISI 1045 Steel

2011 ◽  
Vol 486 ◽  
pp. 262-265
Author(s):  
Amit Kohli ◽  
Mudit Sood ◽  
Anhad Singh Chawla
Keyword(s):  
Experimental Data ◽  
Surface Roughness ◽  
Process Parameters ◽  
Fuzzy Model ◽  
Fuzzy Modeling ◽  
Cnc Machine ◽  
Model Based ◽  
Aisi 1045 Steel ◽  
Aisi 1045 ◽  
1045 Steel

The objective of the present work is to simulate surface roughness in Computer Numerical Controlled (CNC) machine by Fuzzy Modeling of AISI 1045 Steel. To develop the fuzzy model; cutting depth, feed rate and speed are taken as input process parameters. The predicted results are compared with reliable set of experimental data for the validation of fuzzy model. Based upon reliable set of experimental data by Response Surface Methodology twenty fuzzy controlled rules using triangular membership function are constructed. By intelligent model based design and control of CNC process parameters, we can enhance the product quality, decrease the product cost and maintain the competitive position of steel.

scholarly journals Fuzzy Model-based Charpy Impact Toughness Assessment for Ship Steels

2004 ◽  
Vol 44 (6) ◽  
pp. 1108-1113 ◽  
Author(s):  
M.-Y. Chen ◽  
D. A. Linkens ◽  
D. J. Howarth ◽  
J. H. Beynon
Keyword(s):  
Impact Toughness ◽  
Fuzzy Model ◽  
Charpy Impact ◽  
Charpy Impact Toughness ◽  
Model Based

scholarly journals Neuro-fuzzy model-based simulation of a laboratory scale clean-in-place system: A study of the rinsing process

2021 ◽  
Vol 4 ◽  
pp. 100098
Author(s):  
Rodrigo Sislian ◽  
Flávio V. da Silva ◽  
Marco A. Coghi ◽  
Rubens Gedraite
Keyword(s):  
Fuzzy Model ◽  
Laboratory Scale ◽  
Model Based ◽  
System A ◽  
Neuro Fuzzy

Fuzzy model based on dynamic weights of APs for indoor localization

2017 ◽  
Author(s):  
Chengcheng Lu ◽  
Zheng Lv ◽  
Linqing Wang ◽  
Jun Zhao ◽  
Wei Wang
Keyword(s):  
Indoor Localization ◽  
Fuzzy Model ◽  
Model Based

Fuzzy model‐based assessment and monitoring of desertification using MODIS satellite imagery

2009 ◽  
Vol 26 (7) ◽  
pp. 745-760 ◽  
Author(s):  
Meng‐Lung Lin ◽  
Cheng‐Wu Chen ◽  
Qiu‐Bing Wang ◽  
Yu Cao ◽  
Jyh‐Yi Shih ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Fuzzy Model ◽  
Model Based ◽  
Assessment And Monitoring
Sign in / Sign up

Export Citation Format

Share Document