fuzzy neural based adaptive controller
Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... methods based on adaptive Neuro-Fuzzy damping controller and adaptive Artificial Neural Networks damping controller techniques to control a Unified Power Flow ...
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Adaptive Fuzzy-Neuro-Wavelet Dynamic Sliding-Mode Control for a BLDC Motor
... an adaptive fuzzy-neuro-wavelet dynamic sliding-mode control (AFDSC) system which is composed of a neural controller and a switching compensator is ...The neural controller using ...
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Navigational Path Analysis of Mobile Robot in Various Environments
... intelligent controller which may provide a general, robust, safe and optimised path so that mobile robot navigate in real world dynamic ...intelligent controller fuzzy logic and neural network ...
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Adaptive fuzzy & Neuro Fuzzy Inference controller based MPPT for photovoltaic systems
... an adaptive neuro fuzzy inference controller is used to track the maximum power from the PV ...by neural network which uses back propagation learning method with gradient descent ...proposed ...
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Intelligent controllers for velocity tracking of two wheeled inverted pendulum mobile robot
... Model based controllers like LQR [32, 34], and Pole placement controller [27], which are designed based on the linearized model of the robot making the model uncertainties to affect the controllers ...
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Vol 2, No 11 (2014)
... as fuzzy logic control, neural network control, genetic algorithm, and expert system, proved to be ...Intelligent Controller (AIC) could be the best controller for Induction Motor control ...
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Intelligent Optimal Control of a Heat Exchanger Using ANFIS and Interval Type-2 Based Fuzzy Inference System
... artificial neural network and an interval type2 fuzzy inference system (IT2FIS) and represents Takagi-Sugeno fuzzy model as generalized feed forward neural network, and trains it with Heat ...
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Simulation of Speed control of switched reluctance motor using ANFIS
... and Fuzzy logic controller separately and their result is ...are based on conventional PI controller and other one is Adaptive Neuro based Fuzzy logic ...PI ...
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Improved Sensorless Direct Torque Control of Induction Motor Using Fuzzy Logic and Neural Network Based Duty Ratio Controller
... using Fuzzy logic based switching controller called Fuzzy DTC ...current based Model Reference adaptive system (MRAS) proposed by Jakub Vonkomer ...using Fuzzy logic or ...
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An Adaptive Neural Network Fuzzy Inference Controller Using Predictive Evolutionary Tuning
... using adaptive mutation and crossover rates, based upon a fitness function that employs past and present values, show promising results, even when the system is subjected to noise and plant parameter ...
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Adaptive Fuzzy Output-Feedback Sliding Mode Control for Switched Uncertain Nonlinear Systems with Input Saturation
... an adaptive fuzzy output-feedback stabilization control method has been already studied in ...The adaptive fuzzy control problem of nonlinear switched stochastic pure feedback systems has been ...
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Temperature Control of Semiconductor LASER Using Different Controllers
... [3], Fuzzy logic [4] [9], Fuzzy Self-adaptive PID [2] [7], ...PID controller is simple in algorithm, good in stability, high in reliability, easy in design, wide in ...basic controller ...
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Research on Fuzzy Control Algorithm and Application in Two wheel Balance Vehicle
... the fuzzy control algorithm of the electromagnetic two-wheel balance car when driving on the ...the adaptive fuzzy control algorithm with the directional control loop of the two-wheel balance car, so ...
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NEW MODEL TRANSFORMATION USING REQUIREMENT TRACEBILITY FROM REQUIREMENT TO UML BEHAVIORAL DESIGN
... PI, fuzzy, hybrid fuzzy-PI, GA-PI and adaptive neuro-fuzzy inference system (ANFIS) controller based soft switching inverter using transformer, which can generate dc link voltage ...
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Modelling the formation of Ozone in the air by using Adaptive Neuro-Fuzzy Inference System (ANFIS) (Case study: city of Yazd, Iran)
... Based on the results of this study, ANFIS seems suitable for modelling and predicting ozone levels in Yazd. Considering the city’s development and expansion, it is necessary to note that the more is inputs and ...
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Modeling of SVC Controller based on Adaptive PID Controller using Neural Networks
... The BP network is a multilayered simple network which consists of three layers BP NN and they are an input layer, hidden layer and an output layer. It contains four input neurons, five hidden neurons and three output ...
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Deduction of reservoir operating rules for application in global hydrological models
... The membership functions of Charvak for reservoir inflow have moved slightly to the left and the steepness of the bell shapes has increased for the low inflow membership func- tion and decreased for the other. There is a ...
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Control of Non Linear Two Mass Drive System using ANFIS
... of 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 ...developed, based ...
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Designing full-order sliding mode controller based on ANFIS approximator for uncertain nonlinear chaotic systems
... method based on ANFIS has been applied for controlling chaotic nonlinear ...chaotic neural networks, but at this stage, our aim is to apply the proposed method to some well-known chaotic systems in which ...
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Comparison of ANFIS and ANN for Estimation of Thermal Conductivity Coefficients of Construction Materials
... Articial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference Systems (ANFISs) have been used in many dierent elds, from predicting material properties to customer ...
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