Knowledge-based Tuning I: Design and Tuning of Fuzzy Control Surfaces with Bezier Function

2007 ◽  
pp. 53-65 ◽  
Author(s):  
Hanqi Zhuang ◽  
S. Wongsoontorn
Keyword(s):  
Fuzzy Control ◽  
Knowledge Based ◽  
Control Surfaces

Design and Tuning of Fuzzy Control Surfaces with Bezier Functions

2008 ◽  
Vol 14 (1) ◽  
pp. 13-28
Author(s):  
Songwut Wongsoontorn ◽  
Hanqi Zhuang
Keyword(s):  
Fuzzy Control ◽  
Control Surfaces

Knowledge based fuzzy control of systems

1990 ◽  
Vol 35 (2) ◽  
pp. 148-155 ◽  
Author(s):  
F. van der Rhee ◽  
H.R. van Nauta Lemke ◽  
J.G. Dijkman
Keyword(s):  
Fuzzy Control ◽  
Knowledge Based

scholarly journals HEDGE ALGEBRAS, THE SEMANTICS OF VAGUE LINGUISTIC INFORMATION AND APPLICATION PROSPECTIVE

2016 ◽  
Vol 54 (1) ◽  
pp. 1
Author(s):  
Nguyen Cat Ho ◽  
Tran Thai Son ◽  
Vu Nhu Lan
Keyword(s):  
Decision Making ◽  
Fuzzy Control ◽  
Knowledge Based Systems ◽  
Linguistic Variables ◽  
Linguistic Information ◽  
Daily Lives ◽  
Short Overview ◽  
Knowledge Based ◽  
Variable Domains ◽  
Application Fields

The report aims to show that hedge algebras model actually the proper qualitative semantics of words of linguistic variables based on the argument that the inherent qualitative semantics of words should be expressed through the order relationships, induced by the word semantics, between the words in their respective variable domains, as required by decision making of human daily lives. This makes the hedge algebra based approach to the word semantics quite different from the existing approaches and become the only approach that can immediately deal with the natural qualitative semantics of words. We explain clearly and systematically distinguished features and properties of this approach to show that these seem to make the approach to be sound and ensure its effectiveness in applications. This approach seems to be promising for development of hedge algebra-based method to solve problems in various application fields. For illustration, we will give a short overview of effective results some of the initial applications of hedge algebras in the fields of knowledge based systems and in fuzzy control.

scholarly journals Approximation Possibilities of Fuzzy Control Surfaces for Purpose of Implementation into Microcontrollers

Processes ◽  
2021 ◽  
Vol 9 (9) ◽  
pp. 1602
Author(s):  
Martin Olejár ◽  
Dušan Marko ◽  
Ondrej Lukáč ◽  
Marta Harničárová ◽  
Jan Valíček
Keyword(s):  
Fuzzy Control ◽  
Mobile Robot ◽  
Robot Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Computation Time ◽  
Control Area ◽  
Exponential Functions ◽  
Mobile Robot Control ◽  
Control Surfaces

The main contribution of the paper is the simplification of the computational process of fuzzy control of a mobile robot controlled by a microcontroller. We present a way to implement this control method with a reduced computation time of control actions and memory demand. Our way to accomplish this, was to replace the fuzzy controller with the approximation of its resulting control surfaces. In the paper, we use the previously presented approximation by the table and describe other methods of approximation of the control area through polynomial and exponential function. We tested all approximation methods in simulations and with a real mobile robot. Based on the measured trajectory of the EN20 mobile robot, we found that approximation through the table is the most accurate in terms of the fuzzy surface but delivers noticeable oscillations of mobile robot control in real conditions. Polynomial and exponential functions fuzzy surface approximations were less accurate than the table, but provide smoother control based on robot trajectories and are much more appropriate in terms of microcontroller implementation due to lower demand on memory.

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