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Fuzzy Logic, Fuzzy Systems, Control Fuzzy Systems

Control of a Stewart Platform Used in Biomechanical Systems Using Fuzzy Logic Controller

Control of a Stewart Platform Used in Biomechanical Systems Using Fuzzy Logic Controller

... many researches around the world. In [4] general form of Stewart platform was considered proving the existence of 3850 possible solutions of SP design, obtained by combining different kind of joints and constrains. ...

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Designing and simulating of soft computing method oriented on fuzzy logic systems

Designing and simulating of soft computing method oriented on fuzzy logic systems

... of fuzzy inference systems that can be executed in the fuzzy logic toolbox in Matlab are Mamdani- ...inference systems change to some degree in the way outputs are resolved. ...

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VARIOUS FUZZY MODELING TECHNIQUES AND FUZZY CONTROLLER DESIGN FOR NONLINEAR SYSTEM

VARIOUS FUZZY MODELING TECHNIQUES AND FUZZY CONTROLLER DESIGN FOR NONLINEAR SYSTEM

... feedback control is designed for this linear model. Fuzzy logic control is another approach to obtain nonlinear control systems, especially in the presence of incomplete ...

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CONTROLLING PIDs USING NEURO FUZZY EXPERT SYSTEMS.

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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Article Description

Article Description

... of fuzzy logic technique is arriving at finding proper membership functions and suitable ...neuro fuzzy systems; in fact, most of the first applications were in process ...

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Application of Fuzzy Logic to the Speed Control of DC Motor

Application of Fuzzy Logic to the Speed Control of DC Motor

... Fuzzy logic emulates the pattern of human thinking and natural language than the traditional Boolean logic systems because it can handle the concept of partial ...are fuzzy and ...what ...

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Implementation and Application of Fuzzy Logic in Automobiles for the Purpose of Control, Navigation and Tracking of Non Automated and Automated Guided Vehicles

Implementation and Application of Fuzzy Logic in Automobiles for the Purpose of Control, Navigation and Tracking of Non Automated and Automated Guided Vehicles

... the fuzzy ABS leads to excellent results of braking behavior of the test ...available systems. Thus the ABS with FUZZY logic will help the driver to steer while braking heavily and could prove ...

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Development Of Control System For Solar Plant Using Genetic Fuzzy PID Techniques

Development Of Control System For Solar Plant Using Genetic Fuzzy PID Techniques

... nonlinear systems, higher-order and time-delayed linear systems, and particularly complex and vague systems that have no precise mathematical ...employing fuzzy logic have been designed ...

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Hybrid Fuzzy Logic Controller for Improving Voltage Stability of Grid Connected SCIG Wind Turbine

Hybrid Fuzzy Logic Controller for Improving Voltage Stability of Grid Connected SCIG Wind Turbine

... There was analytic method to analyze the large disturbance stability of induction generator. Ahda Pionkoski Grilo, Alexandre de Assis Mota, Lia Toledo Moreira Mota [13] explained analytical method for analysis of ...

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FUZZY SYSTEMS  DESIGN AND APPLICATIONS

FUZZY SYSTEMS DESIGN AND APPLICATIONS

... Fuzzy logic deals with uncertainty in engineering by attaching degrees of certainty to the answer of a logical ...a fuzzy logic controller. The control system will not be optimal but it ...

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Fuzzification Of Fuzzy Logic And Fuzzy Sets
With An Overview Of Fuzzy Set Operations And
Applications

     R.Gayathri M.Phil, Dr.P.Mayilvahanan Phd, Dr.P.Guhan M.C.A,M.Phil,Phd Abstract PDF  IJIRMET160206022

Fuzzification Of Fuzzy Logic And Fuzzy Sets With An Overview Of Fuzzy Set Operations And Applications R.Gayathri M.Phil, Dr.P.Mayilvahanan Phd, Dr.P.Guhan M.C.A,M.Phil,Phd Abstract PDF IJIRMET160206022

... The control systems are usually explained by numerical models which follow the randomly determined models, law of physics or arithmetical logic ...these systems are still too complex to ...of ...

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New Approach of Stability for Time Delay Takagi Sugeno Fuzzy System Based on Fuzzy Weighting Dependent Lyapunov Functionals

New Approach of Stability for Time Delay Takagi Sugeno Fuzzy System Based on Fuzzy Weighting Dependent Lyapunov Functionals

... Fuzzy control systems have experienced a big growth of industrial applications in the recent decades, because of their reliability and ...Takagi-Sugeno fuzzy models [1-17] which can associate ...

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DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR 
WSN

DYNAMIC SENSOR RELOCATION TECHNIQUE BASED LIGHT WEIGHT INTEGRATED PROTOCOL FOR WSN

... electronic systems get their “Life Blood” from power ...electronic systems are subjected to low power factor, harmonic distortions on supply as well in load ...uses fuzzy logic, artificial ...

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Diagnosis, Modeling and Prognosis of Learning System using Fuzzy Logic and Intelligent Decision Vectors

Diagnosis, Modeling and Prognosis of Learning System using Fuzzy Logic and Intelligent Decision Vectors

... paper fuzzy Expert Systems are used that are based on fuzzy logic and intelligent decision vectors to handle the quantitative as well as qualitative aspects in measuring the performance of an ...

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Adaptive Fuzzy Output-Feedback Sliding Mode Control for Switched Uncertain Nonlinear Systems with Input Saturation

Adaptive Fuzzy Output-Feedback Sliding Mode Control for Switched Uncertain Nonlinear Systems with Input Saturation

... adaptive fuzzy output-feedback sliding mode control for switched uncertain nonlinear systems with input ...mode control technique, an adaptive fuzzy sliding mode controller is designed ...

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Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements

Fuzzy H-infinity output feedback control of nonlinear systems under sampled measurements

... practical systems are very complex, a suitable mathematical model that describes the dynamics of processes is very difficult, if not impossible to ...these systems can be expressed in some form of ...

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An approach to represent time series forecasting via fuzzy numbers

An approach to represent time series forecasting via fuzzy numbers

... Abstract—This paper introduces a new approach for estimating the uncertainty in the forecast through the construction of Triangular Fuzzy Numbers (TFNs). The interval of the proposed TFN presentation is generated ...

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Handling Uncertain Leases in Infrastructure as a Service Clouds

Handling Uncertain Leases in Infrastructure as a Service Clouds

... introduced fuzzy logic into logic programming, in order to incorporate more expressive resources on such languages for dealing with uncertainty and approximated ...the fuzzy logic ...

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Image Denoising Using Adaptive Neuro-Fuzzy System

Image Denoising Using Adaptive Neuro-Fuzzy System

... and fuzzy approaches, enables one to build more intelligent decision-making ...of fuzzy logic. Besides these generic advantages, the neuro–fuzzy approach also provides the corresponding ...

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Hybrid learning for interval type 2 intuitionistic fuzzy logic systems as applied to identification and prediction problems

Hybrid learning for interval type 2 intuitionistic fuzzy logic systems as applied to identification and prediction problems

... traditional fuzzy logic systems [44], [45] and intuitionistic fuzzy systems of type-1 [46], ...the fuzzy system parameters, using the standard EKF can be more complicated [44], ...

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