Logic-based neurons: Extensions, uncertainty representation and development of fuzzy controllers

1994 ◽  
Vol 66 (3) ◽  
pp. 251-266 ◽  
Author(s):  
Witold Pedrycz
Keyword(s):  
Fuzzy Controllers ◽  
Uncertainty Representation

Synthesis and optimization of fuzzy controllers in the control systems of pyrolysis reactors

2017 ◽  
Vol 0 (4) ◽  
Author(s):  
Oleksiy V. Kozlov ◽  
Galyna V. Kondratenko ◽  
Yuriy P. Kondratenko
Keyword(s):  
Control Systems ◽  
Fuzzy Controllers

Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm

2021 ◽  
pp. 1-16
Author(s):  
Radu-Emil Precup ◽  
Radu-Codrut David ◽  
Raul-Cristian Roman ◽  
Alexandra-Iulia Szedlak-Stinean ◽  
Emil M. Petriu
Keyword(s):  
Servo Systems ◽  
Fuzzy Controllers ◽  
Slime Mould ◽  
Optimal Tuning ◽  
Interval Type

Researches Regarding the Use of Fuzzy Controllers within CNC Feed Drives

2015 ◽  
Vol 772 ◽  
pp. 229-234
Author(s):  
Radu Eugen Breaz ◽  
Octavian Bologa
Keyword(s):  
Machine Tool ◽  
Fuzzy Controller ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Fuzzy Controllers ◽  
Feed Drive ◽  
Feed Drives ◽  
Simulation Based ◽  
Position Controller ◽  
Dc Servomotor

This paper presents some simulation based upon a dynamic model of a feed-drive within the structure of a CNC machine tool. A DC servomotor was considered as actuation device for the feed drive. For a given set of parameters for the position controller, two fuzzy types of fuzzy controllers were tested by means of simulation. The first fuzzy controller was a proportional one, with one input and one output, while the second one was a two variables one, with two inputs and one outputp.

Design and analysis of a class of self-organizing and trainable fuzzy controllers

1995 ◽  
Vol 12 (3) ◽  
pp. 301-315 ◽  
Author(s):  
Taek Mu Kwon ◽  
Michael E. Zervakis ◽  
Anastasios N. Venetsanopoulos
Keyword(s):  
Fuzzy Controllers ◽  
Self Organizing
Sign in / Sign up

Export Citation Format

Share Document