The Chiu’s method which generates a Takagi-Sugeno Fuzzy Inference System (FIS) is a method of fuzzy rules extraction. The rules output is a linear function of inputs. Those rules are not explicit for the expert. This paper proposes a new method to generate Mamdani FIS, where the rules output is fuzzy. The method proceeds in two steps. The first step consists in using the subtractive clustering ...

In this research, the design and manufacture of a prototype for monitoring watering system that integrates concept fuzzy logic in chili plants are carried out. The relationship between air humidity, temperature soil moisture can be identified to determine right volume water. is built based on farming environment specifications installed water pump. This uses NodeMCU ESP8266 as main controller i...

This paper deals with the control aspects of magnetic levitation system using fuzzy logic controller (FLC). The magnetic levitation system is a mechatronic system already acknowledged and accepted by the field experts. For such a system it is desired to proposed a suitable controller for positioning a metal sphere in air space by the help of an electromagnetic force. In the ideal situation, the...

During the past decades, fuzzy logic control (FLC) has been one of the most active and fruitful areas for research in the application of fuzzy set theory. It has has been an active research topic in automation and control theory, since the work of Mamdani proposed in 1974 based on the fuzzy sets theory of Zadeh (1965), to deal with the system control problems which is not easy to be modeled [Ma...

A method for selecting the best service for the storage of information by Mamdani.

In this paper, we propose a new fuzzy bang–bang relay controller (FBBRC). The bang–bang control systems use switching relays or hard limiter saturation functions with fixed parameters, and their input does not have the flexibility to control the non-linear system over its entire range of operation. The conventional fuzzy bang–bang controllers have an analog output and an external hard limiting ...

In this paper concentrated on the design of a minimum rule based fuzzy-logic controller for robot navigation, and hurdles avoidance in cluttered environment, based on the Mamdani type fuzzy method. The controller has 3 inputs, and single output. This technique generates suitable heading angle maneuvers control of the autonomous vehicle which is used by the robot to reach its goal safely without...

Linear and Non-linear distortion influenced data transmission rate in communication system. In the presence of White Gaussian Noise linear distortion occurs in form of intersymbol interference (ISI) and co-channel interference (CCI). Amplifiers, modulator and demodulator subsystems are caused for Non-linear distortions along with nature of the medium. Different techniques are used to equalized ...

This paper presents a control strategy for micro-electro-mechanical systems (MEMS) z-axis gyroscope, based on the coupling of the fuzzy logic control with the so-called sliding mode control (SMC) approach and sliding mode observer. An adaptive model reference state tracking controller which can estimate the angular velocity vector, and the damping and stiffness model coefficients in real-time i...

1 Introduction pH control is the process of adding acid or base to opposing solutions aiming to achieve a solution of pH 7, defined as neutral solution. The function of the controller is to achieve a neutral output of the system. This in itself is not an easy problem to solve as pH control of a neutralisation process is a difficult non-linear control problem. This is largely due to the inherent...