نتایج جستجو برای: fuzzy control

تعداد نتایج: 1401973  

Journal: :Fuzzy Sets and Systems 2006
Elisenda Molina Juan Tejada

The aim of this paper is to analyse linear production with committee control situations arising when controllers face the possibility of graduating their options. In order to model these situations, we consider several kinds of fuzzy controls, which can be modelled as different simple fuzzy games. An LP-game which is an extension of LP-games with committee control introduced in Curiel et al. [o...

Journal: :IJAISC 2012
Shadi A. Alboon Amin Alqudah Hussein Al-Zoubi Abedalgany A. Athamneh

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2007
Y. J. Huang T. C. Kuo H. Y. Tseng

predictor for a time-delayed system is proposed. The purpose of this work is to predict the unknown plant time-delay by using a fuzzy logic controller. A classical controller is first designed for ideal non-time-delay systems. The developed fuzzy estimator measures the unknown plant time-delay. Once the estimation process completed, the control system performs an ideal non-time-delay system. Th...

Journal: :IEEE Trans. Contr. Sys. Techn. 1998
Michel Dussud Sylvie Galichet Laurent Foulloy

This paper deals with the problem of molten metal level control in continuous casting. Under normal circumstances, proportional integral derivative (PID) control performs quite well, but abnormal conditions (in particular nozzle clogging/unclogging) require manual intervention. Indeed, when the flow of matter into the mold increases suddenly, the PID controller is not always able to prevent lar...

Journal: :Int. J. Fuzzy Logic and Intelligent Systems 2009
Sunggyu Kwon

A control system composed of two fuzzy controllers is proposed to balance the pole as well as to move the cart to the center of the track of the cartpole system. The two fuzzy controllers are designed with 2 input variables respectively and their control characters are studied in order to devise a control scheme that alternates the two fuzzy controllers. It is found that the control system usin...

Journal: :Artif. Intell. Research 2017
Yi-Han Xu Wen-Li Wu Yong Xu Mau-Luen Tham Nordin Bin Ramli

The existing technology of carbon dioxide regulation methods are incomplete and time consuming. It is difficult to manage and not environmentally friendly. Carbon dioxide regulation systems in greenhouse can only set carbon density thresholds relying on human experience. They cannot meet the practical requirements of the carbon dioxide density accurately; hence result in negative effects on cro...

2011
Paul E. Mendez-Monroy Héctor Benítez-Pérez

This paper presents a neuro-fuzzy control strategy with online estimation of Round Trip Time delay for nonlinear Networked Control Systems, first a fuzzy model is identified offline through inputs-states data with delay measurement, therefore, parameters for the estimation of Round Trip Time delay are obtained. The fuzzy control is designed by Linear Quadratic Regulation and a stability analysi...

Journal: :Eng. Appl. of AI 2013
Javier Solano Martínez Jérôme Mulot Fabien Harel Daniel Hissel Marie-Cécile Péra Robert Ivor John Michel Amiet

The aim of this paper is to present experimental validation results of an energy management system for hybrid electrical vehicles based on type-2 fuzzy logic. The energy management system (EMS) is designed by extracting knowledge from several experts using surveys. The consideration of interval type-2 fuzzy sets enables modeling the uncertainty in the answers of the experts. The validation of t...

2015
Dan E. Tamir Naphtali Rishe Abraham Kandel

Fuzzy Logic, introduced by Zadeh along with his introduction of fuzzy sets, is a continuous multi-valued logic system. Hence, it is a generalization of the classical logic and the classical discrete multi-valued logic (e.g. Łukasiewicz’ three/many-valued logic). Throughout the years Zadeh and other researches have introduced extensions to the theory of fuzzy setts and fuzzy logic. Notable exten...

2004
Wen-der Yu Han-wen Lin

This paper tackles problems encountered in mining of incomplete data for knowledge discovery of construction databases. As historical construction data are expensive to collect, any waste of incomplete data means not only loss of knowledge but also increase of costs for knowledge discovery of construction engineering. Unfortunately, incompleteness is commonplace in the existing construction dat...

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