neuro-fuzzy control algorithm
MAXIMUM POWER POINT TRACKING CONTROL FOR PHOTOVOLTAIC SYSTEMS: NEURO-FUZZY APPROACH
... intelligent neuro-fuzzy direct method with high adaptive capability is designed for the MPPT of a PV ...proposed control is initialized from the traditional fuzzy control by means of ...
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DEVELOPMENT OF NEURO FUZZY CONTROLLER ALGORITHM FOR AIR CONDITIONING SYSTEM
... the fuzzy logic control is the difficulty of choice and design of membership functions for a given problem ...and fuzzy logic control forms a system called neuro-fuzzy ...hand, ...
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A Genetic Algorithm Based Neuro Fuzzy Controller for the Speed Control of Induction Motor
... Genetic Algorithm and demonstrates its operative behaviour for the performance advancement of the IMDis ...the control technique rules.In order to develop the NFC a new fuzzy self-tuning parameter is ...
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... and neuro-fuzzy ...proposed control method, three nonlinear systems, including the bioreactor which is a highly nonlinear chemical process, were used to be controlled by the adaptive CPSO-trained ...
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Neuro-Fuzzy Navigation Technique for Control of Mobile Robots
... using neuro-fuzzy controller has been discussed in this paper. In neuro-fuzzy controller the output from the neural network is fed as an input to fuzzy controller and the final outputs ...
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Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
... Adaptive Neuro-Fuzzy Inference Systems (ANFIS) algorithm are considered and included to replace the conventional method of Proportional Integral and ...and fuzzy logic principles, it has ...
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Quaternion Neuro-Fuzzy Learning Algorithm for Fuzzy Rule Generation
... of fuzzy control, the practical applications of fuzzy inference have increased, and generations of fuzzy rules have become ...a fuzzy system model is designed, it is sometimes too hard ...
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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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Adaptive neuro-fuzzy control of an induction motor
... in Fuzzy Logic Toolbox ...a fuzzy inference sys- tem (FIS) whose membership function parameters are adjusted using either a backpropagation algorithm alone, or in a com- bination with a least squares ...
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Generation of Fuzzy Rules Based on Complex-valued Neuro-Fuzzy Learning Algorithm
... of fuzzy control, the practical applications of fuzzy inference have increased, and generations of fuzzy rules have become ...a fuzzy system model is designed, it is sometimes too hard ...
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Designs Neuro Fuzzy Models in Control Problems of a Steam Heater
... automatic control system based on the Mamdani ...complex control object ...high-speed algorithm of fuzzy-logical derivation of the main parameters: vapor pressure and ...The algorithm ...
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Control of PMSM using Neuro-Fuzzy Based SVPWM Technique
... to fuzzy inference ...of fuzzy set with the linguistic terms VN, N, Z, P, and Pin this type of mamdani fuzzy inference system the linguistic terms are expressed using triangular membership ...output ...
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CONTROLLING PIDs USING NEURO FUZZY EXPERT SYSTEMS.
... Proportional Integral Derivative (PID) controlling mechanism is found in several applications in industries where speed of motors or induction motors is to be controlled. The PID controller is specifically useful since ...
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Image Denoising Using A New Hybrid Neuro-Fuzzy Filtering Technique
... Detection and removal of impulse noise from digital images have been of research interest in the last few years. Majority of the existing filtering methods comprise order statistic filters utilizing the rank order ...
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New Smith predictive fuzzy immune PID control algorithm for MIMO networked control systems
... Considering the random delay and packet loss prob- lem caused by network bandwidth constraint, the clas- sical Smith predictor has strong advantages in compensating delay and has been successfully applied in SISO NCS ...
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A novel optimal medium resolution remote sensing image classification using Neuro fuzzy approach
... and fuzzy systems are adaptive in the estimation of the input–output function without any precise mathematical ...while fuzzy systems can handle symbolic and qualitative ...a fuzzy classifier ...
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A Review on Medical Image De-Noising using Bilateral Filter, Neuro-Fuzzy and GABOR
... the control problem rather than pursuing to model and FL model empirically based which rely on operator experience except their technical perceptive of the system where example dealing with temperature ...
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Vol 12, No 1 (2014)
... crisp, Fuzzy logic and Neuro- Fuzzy logic are implemented for image fusion in order to incorporate uncertainty to the images ...of Neuro-fuzzy of fuzzy systems can achieve sensor ...
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Neuro-fuzzy Sliding Mode Controller Based on a Brushless Doubly Fed Induction Generator
... paper, Neuro-Fuzzy Sliding Mode Control NFSMC for BDFIG has been ...suggested control has been compared with the classical vector control based on PI controller and sliding mode ...
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Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... control, enhancement of transient stability, mitigation of system oscillations and voltage regulation [2]. A comprehensive and systematic approach for mathematical modeling of UPFC for steady-state and small ...
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