Results 81 to 90 of about 419,147 (255)

Design and implementation of fuzzy logic controllers [PDF]

The main objectives of our research are to present a self-contained overview of fuzzy sets and fuzzy logic, develop a methodology for control system design using fuzzy logic controllers, and to design and implement a fuzzy logic controller for a real ...
Abihana, Osama A., Gonzalez, Oscar R.
core   +1 more source

Design a Multi-Choice Fuzzy Control System of the Greenhouse

Journal of Engineering, 2015
Applications of nonlinear, time variant, and variable parameters represent a big challenge in a conventional control systems, the control strategy of the fuzzy systems may be represents a simple, a robust and an intelligent solution for such applications.
Kais Said Ismail, Prof. Dr., Qays Jebur Sabr AL-Jewari   +1 more
doaj   +2 more sources

An Intelligent Traction Control for Motorcycles [PDF]

, 2015
The appearance of anti-lock braking systems (ABS) and traction control systems (TCS) have been some of the most major developments in vehicle safety.
Cabrera-Carrillo, Juan Antonio, Castillo-Aguilar, Juan Jesus, Guerra-Fernandez, Antonio Jesus, Urda Gómez, Pedro   +3 more
core  

Design of Adaptive Neural Fuzzy Controller for Speed Control of BLDC Motors

Majlesi Journal of Electrical Engineering
The purpose of this paper is to design an adaptive neuro-fuzzy controller to control the speed of the BLDC motor. This paper throws overall view of the performance of fuzzy PID controller and compares with fuzzy - adaptive neural controller.
Akbar Karimi Pouya
doaj  

Learning and tuning fuzzy logic controllers through reinforcements [PDF]

A new method for learning and tuning a fuzzy logic controller based on reinforcements from a dynamic system is presented. In particular, our Generalized Approximate Reasoning-based Intelligent Control (GARIC) architecture: (1) learns and tunes a fuzzy ...
Berenji, Hamid R., Khedkar, Pratap
core   +1 more source

Optimizing Active Disturbance Rejection Control for a Stubble Breaking and Obstacle Avoiding Control System

Agriculture
In order to improve the obstacle avoidance control performance and anti-interference ability of a stubble breaking device of a no-tillage planter, a back-propagation neural network (BPNN)-optimized fuzzy active disturbance rejection control (ADRC ...
Huibin Zhu, Tao Huang, Lizhen Bai, Wenkai Zhang   +3 more
doaj   +1 more source

Single board system for fuzzy inference [PDF]

The very large scale integration (VLSI) implementation of a fuzzy logic inference mechanism allows the use of rule-based control and decision making in demanding real-time applications. Researchers designed a full custom VLSI inference engine.
Symon, James R., Watanabe, Hiroyuki
core   +1 more source

Development of emission orientated production control strategies using Fuzzy Expert Systems, Neural Networks and Neuro-Fuzzy approaches [PDF]

, 1996
Axel Tuma, Hans–Dietrich Haasis, Otto Rentz   +2 more
openalex   +1 more source

Fuzzy logic particle tracking velocimetry [PDF]

Fuzzy logic has proven to be a simple and robust method for process control. Instead of requiring a complex model of the system, a user defined rule base is used to control the process.
Wernet, Mark P.
core   +1 more source

Improvement of flight simulator feeling using adaptive fuzzy backlash compensation [PDF]

, 2007
In this paper we addressed the problem of improving the control of DC motors used for the specific application of a 3 degrees of freedom moving base flight simulator.
Amara, Zied, Bordeneuve-Guibé, Joël
core