adaptive neuro-fuzzy control system
Design adaptive neuro-fuzzy speed controller for an electro-mechanical system
... the fuzzy system to learn from the data it is ...pure fuzzy paradigm that the need for the human operator to tune the system by adjusting the bounds of the membership functions is ...loop ...
9
Adaptive neuro-fuzzy control of an induction motor
... network system combines the advantages of neu- ral network and fuzzy logic ...the fuzzy logic systems, and the fuzzy logic systems provide neural networks with a structural framework with ...
8
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 ...a fuzzy wavelet neural ...
5
Adaptive Neuro Fuzzy Expert System for Diagnosing HIV
... camera control how far away the subject of the photograph is, and the controller adjusts the focus the lens ...like fuzzy systems, linear systems, expert systems, neural networks, differential equations, ...
12
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 ...drive ...
11
Image Denoising Using Adaptive Neuro-Fuzzy System
... of fuzzy techniques in image noise reduction processing is a promising research field ...[5]. Fuzzy techniques have already been applied in several domains of image processing, ...These fuzzy ...
7
Performance Improvement for BLDC Motor by using Adaptive Neuro-Fuzzy Inference Systems (ANFIS)
... propagation Adaptive Neuro-Fuzzy Inference Systems (ANFIS) algorithm are considered and included to replace the conventional method of Proportional Integral and ...and fuzzy logic principles, ...
8
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 ...
8
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 ...
6
Adaptive Neuro-Fuzzy Control Approach for a Single Inverted Pendulum System
... the system, there was a huge steady-state error level for the cart’s response during the ...Sugeno Fuzzy controller also had a high settling time compared to the ANFIS controller as it needed approximately ...
9
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 ...
6
Optimum Setting Strategy for WTGS by Using an Adaptive Neuro Fuzzy Inference System
... of control for variable speed Wind Turbine Generation System (WTGS), the data-driven Adaptive Neuro-Fuzzy Inference System (ANFIS) was used to establish a sensorless wind speed ...
5
Abstract: This paper presents a new control methods based on adaptive Neuro-Fuzzy damping controller and
... fast control action and new capabilities [3], ...directly control transmission line flows by structurally changing parameters of the grid, and to implement high gain type controllers based on fast ...two ...
8
Survey of fuzzy inference model and impact on QOS parameters using adaptive neuro fuzzy inference system in MANET
... proposed Fuzzy logic control method to improve the performance and reliability of the multicast routing protocols in ...nodes. Fuzzy logic is proposed to distinguish the strong and weak nodes in the ...
5
An Adaptive Neuro Fuzzy Speed Controller for a Separately excited DC Motor
... an Adaptive Neuro Fuzzy Inference System (ANFIS) controller using error and derivative of error inputs is proposed for the speed control of a separately excited dc motor (SEDCM) using ...
9
Adaptive Neuro Fuzzy Inference System control of active suspension system with actuator dynamics
... suspension. Fuzzy controller has ability to predict the behaviour of system without any mathematical model of a ...introduced fuzzy controller for active suspension using quarter car model where ...
9
Adaptive Neuro-Fuzzy Inference System based control of six DOF robot manipulator
... uncertainties. Fuzzy Logic Controller can very well describe the desired system behavior with simple “if-then” relations owing the designer to derive “if-then” rules manually by trial and ...a system ...
6
Advanced Dynamic Path Control of the Three Links SCARA Using Adaptive Neuro Fuzzy Inference System
... Torque Control (CTC) is commonly used in the research ...some adaptive approaches have been proposed to maintain the tracking performance of the robotic manipulator in the presence of structured ...motion ...
17
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 ...two ...
10
ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR OKRA YIELD PREDICTION
... Snehal S. D., Sandeep, R. V. 2014. Agri- cultural Crop Yield Prediction Using Artifi- cial Neural Network Approach. International Journal of Innovative Research In Electrical, Elec- tronics, Instrumentation And ...
8