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neuro-fuzzy control system

An Optimized Neuro Fuzzy Control System for Afam Vi Power Station (IPP)

An Optimized Neuro Fuzzy Control System for Afam Vi Power Station (IPP)

... a system at determined values and counteract random disturbances caused by external ...feedback system where a controller senses the operation of a system, compares it against a desired behaviour, ...

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A Neuro Fuzzy System for Modeling the Depression Data

A Neuro Fuzzy System for Modeling the Depression Data

... The connecting weights between the 4 th and 5 th layers indicate the membership function distributions of the output variables. Once the membership function distributions are known, this layer calculates the output of ...

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Optimization of functional Spirulina cookies on their sensory attributes

Optimization of functional Spirulina cookies on their sensory attributes

... maximum control in steering the vehicle, also providing a sense of comfort for passengers to reduce their sense of the presence of protuberances or bumps on the ...the Control unit and some hydraulic ...

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An Adaptive Neuro Fuzzy Speed Controller for a Separately excited DC Motor

An Adaptive Neuro Fuzzy Speed Controller for a Separately excited DC Motor

... controller system based on (ANFIS) Controller has been successfully developed using MATLAB (2009) to control the speed of a separately excited DC ...to control a ...the system has been ...

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Design and Implemented  Pitch Angle Wind Turbine Control System Base Neuro Fuzzy At East Java-Indonesia

Design and Implemented Pitch Angle Wind Turbine Control System Base Neuro Fuzzy At East Java-Indonesia

... Furthermore, the controller is designed using software Code Vision AVR. Besides Having designed and then the program embedded in the microcontroller ATmega16. The flowchart program is embedded in the microcontroller can ...

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Control of Non Linear Two Mass Drive System using ANFIS

Control of Non Linear Two Mass Drive System using ANFIS

... Adaptive neuro fuzzy inference system (ANFIS) controller to a non-linear system which is made out of an engine where motor is associated with the load machine through a ...drive system ...

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Co-Active Neuro-Fuzzy Inference System for Governing Control and Excitation Control of Power System Stability

Co-Active Neuro-Fuzzy Inference System for Governing Control and Excitation Control of Power System Stability

... compensated control is studied in simulation. The severe ness of system faults is simulated by the faults at different positions in the transmission ...different system faults. In serious in slide ...

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ANFIS based Neuro Fuzzy Controller in LFC of Wind Micro Hydro Diesel Hybrid Power System

ANFIS based Neuro Fuzzy Controller in LFC of Wind Micro Hydro Diesel Hybrid Power System

... the control strategy to control the frequency deviation of the wind-micro hydro-diesel hybrid power system using the concepts of ANFIS control scheme is presented ...The ...

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Analysis of Control of Inverted Pendulum using Adaptive Neuro Fuzzy system

Analysis of Control of Inverted Pendulum using Adaptive Neuro Fuzzy system

... technique, fuzzy controller, has been employed for stabilization of the inverted ...pendulum. Fuzzy controller, when inverted pendulum is considered, is a very good choice for control ...

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Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller

Active Suspension System Control Using Adaptive Neuro Fuzzy (ANFIS) Controller

... ANFIS system has better performance compared to passive system, fuzzy and LQR systems which can cause good handling for the ...proposed system has significant reduction in control force ...

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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor

Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor

... adaptive fuzzy-neuro-wavelet dynamic sliding-mode control (AFDSC) system which is composed of a neural controller and a switching compensator is ...the control system are derived ...

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The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

The Most General Intelligent Architectures of the Hybrid Neuro-Fuzzy Models

... the fuzzy logic and neural networks make them ideal solution in individual use for some kinds of artificial intelligent but not ...example, system modeling technique through the neural networks, is ...

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AN Adaptive Neuro Fuzzy Inference System Control For A Bearingless Induction Motor Based On A Disturbance Observer

AN Adaptive Neuro Fuzzy Inference System Control For A Bearingless Induction Motor Based On A Disturbance Observer

... limitations, system parameter disturbance or demand disruption, and inaccurate analytical ...the control system is accurately controlled and the SM variable system control method ...

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Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives

Implementation of Adaptive Neuro Fuzzy Inference System in Speed Control of Induction Motor Drives

... speed control of such machines by a simple and economical means remains a difficult ...to control their effec- tive impedance ...to control the speed by varying the duty cycle of the ...

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Enactment investigation of indirect vector 
		control induction motor using various predictive controller

Enactment investigation of indirect vector control induction motor using various predictive controller

... Smart control has been developing area of investigation to advance the dynamic performance of ...on fuzzy logic, neural networks and other computation intellect proposals to deal the dynamics of great ...

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Efficiency of genetic algorithms in intelligent 
		hybrid control systems

Efficiency of genetic algorithms in intelligent hybrid control systems

... FCM-based neuro-fuzzy inference system and genetic algorithm-polynomial neural network approaches to modelling the thermal conductivity of alumina-water ...

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Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System

Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System

... WTGS control, usually, we just concern the con- trol method ...SCADA system, we can establish the profile mapping between ω r meas , P m meas and V ...

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Sustainable Architecture of Wind Energy Conversion System based on Neuro-Fuzzy Approach

Sustainable Architecture of Wind Energy Conversion System based on Neuro-Fuzzy Approach

... conversion system has been proposed as a way to create a more reliable, secure, efficient, safe, economic and environmentally friendly ...Generation system based on Neuro-Fuzzy ...Voltage ...

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Neuro Fuzzy System for Routing in a Computer Network

Neuro Fuzzy System for Routing in a Computer Network

... designed to optimize the path of travel based only on one measure, usually distance. In random method, messages were sent randomly across the network. There are many factors that seem imperative to determining which path ...

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Development of an Expert System for Message Routing in a Switched Network Environment

Development of an Expert System for Message Routing in a Switched Network Environment

... expert system needs to be built to address the issue of quality of service for routing of messages in a ...expert system is concerned with building a system that employs human knowledge captured in a ...

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