Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +5 more sources
Zero overshoot and fast transient response using a fuzzy logic controller [PDF]
In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
core +3 more sources
Methodology for adapting the parameters of a fuzzy system using the extended Kalman filter [PDF]
When we try to analyze and to control a system whose model was obtained only based on input/output data, accuracy is essential in the model. On the other hand, to make the procedure practical, the modeling stage must be computationally efficient. In this
Jose Manuel Andujar Marquez +11 more
core +1 more source
Fuzzy model based predictive control of chemical processes. [PDF]
The past few years have witnessed a rapid growth in the use of fuzzy logic controllers for the control of processes which are complex and ill-defined. These control systems, inspired by the approximate reasoning capabilities of humans under conditions
Kandiah, Sivasothy
core +6 more sources
Expert supervision of conventional control systems [PDF]
The objective of this paper is to outline a general concept for the design of supervising fuzzy controllers to back up or monitor a conventzonal control system.
Ewers, Bernd +3 more
core +1 more source
Application of the Extended Kalman filter to fuzzy modeling: Algorithms and practical implementation [PDF]
Modeling phase is fundamental both in the analysis process of a dynamic system and the design of a control system. If this phase is in-line is even more critical and the only information of the system comes from input/output data.
Jose Manuel Andujar Marquez +11 more
core +1 more source
Fuzzy logic control for watering system
A two-dimensional finite element (FEM) model was developed to simulate water propagation in soil during irrigation. The first dimension was water distribution depth in soil, and the second dimension was time.
Maciej Neugebauer +3 more
doaj +1 more source
Fuzzy Fractional Order PID Tuned via PSO for a Pneumatic Actuator with Ball Beam (PABB) System
This study aims to improve the performance of a pneumatic positioning system by designing a control system based on Fuzzy Fractional Order Proportional Integral Derivative (Fuzzy FOPID) controllers.
Mohamed Naji Muftah +3 more
doaj +1 more source
Development and Experimental Validation of an IoT-Based Fuzzy Logic Control System with Fault Diagnosis for Hydroponic Greenhouses [PDF]
Hydroponic greenhouse management under extreme climatic conditions requires reliable and low-cost automated control solutions. In this paper, a fuzzy logic-control IoT-based system for the automatic control of a hydroponic greenhouse is presented.
yasir mosleh abdal
doaj +1 more source
Controlling for Boiler in Thermal Power Plants by Using Fuzzy Logic Controller [PDF]
Presently used modern techniques to control instead of the traditional control techniques for many industrial applications virtually or theoretically. In this research, a Fuzzy logic has been applied to control the important variables of steam generator ...
H.S. Anead +2 more
doaj +1 more source

