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fuzzy rule-based control

Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks

Auto control of pumping operations in sewerage systems by rule based fuzzy neural networks

... water level gauging stations that belong to two sub-drainage systems. The learning target of the RNN model was the wa- ter level observations of YC10. To obtain 5- to 20-min-ahead water level predictions, this study ...

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Load Frequency Control in Deregulated Power System using Fuzzy C Means

Load Frequency Control in Deregulated Power System using Fuzzy C Means

... Frequency Control (LFC) is a very important issue in power system operation and control for supplying sufficient and reliable electric power with good quality ...proposed fuzzy logic based ...

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A Model of Cellular Automata for the Fuzzy Control of Aphids

A Model of Cellular Automata for the Fuzzy Control of Aphids

... (chemical control) and the biological agent (biological ...a fuzzy rule-based system ...proposing control techniques for different initial ...

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Integral Performance Criteria Based Analysis of Load Frequency Control in Bilateral Based Market

Integral Performance Criteria Based Analysis of Load Frequency Control in Bilateral Based Market

... Case I: In this case it is assumed that all Gencos are participating in the LFC task as per contract. It is as- sumed that a large step load 0.05 p.u MW is demanded by each DISCOs in all areas. Frequency response for ...

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Implementation of fuzzy rule-based algorithms in p control chart to improve the performance of statistical process control

Implementation of fuzzy rule-based algorithms in p control chart to improve the performance of statistical process control

... of control charts are variable control chart and attribute control ...variable control chart such as X̅-S control charts, X̅-R control charts, cumulative sum chart, ...attribute ...

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Speed Control of DC Motor using Fuzzy Logic based on LabVIEW

Speed Control of DC Motor using Fuzzy Logic based on LabVIEW

... Speed control of DC Motor is vital in many ...to control the speed of the DC motor using fuzzy logic control (FLC) based on LabVIEW (Laboratory Virtual Instrument Engineering Workbench) ...

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A TSK Type Recurrent Neuro Fuzzy Systems for Fault Prognosis

A TSK Type Recurrent Neuro Fuzzy Systems for Fault Prognosis

... are based on two types of fuzzy models TSK [4,5] combined with NN learning ...for control and fault diagnosis [6]. Mamdani models use fuzzy sets as consequents and therefore give a more ...

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Power System Dynamic stability Control and its On-Line Rule Tuning Using Grey Fuzzy

Power System Dynamic stability Control and its On-Line Rule Tuning Using Grey Fuzzy

... PSS based on Grey Fuzzy PID Control (PSS+GFPIDC) can be formulated as an optimal linear regulator control problem; however, implementing this technique requires the design of ...of ...

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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

... optimal fuzzy Proportional-Integral-Derivative (PID) controller for the solar plant at ...the Fuzzy PID controller are optimized by using Generic ...conflicting control design ...integrated ...

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... simplified fuzzy control algorithm (SFCA) which they developed, in a purely fuzzy logic setting, could make the rule-based paradigm to possess the computational efficiency and trainable ...

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Development of an automobile robot system 
		model based on soft computing in an unsteady environment

Development of an automobile robot system model based on soft computing in an unsteady environment

... convoy, based on soft computing. During the work a reference adaptive control model was developed, the rules of constructing the fuzzy rule base were described, an optimizer of the number of ...

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Chain Coding and Pre Processing Stages of Handwritten Character Image File

Chain Coding and Pre Processing Stages of Handwritten Character Image File

... and Fuzzy Logic in the field of handwritten character recognition. Fuzzy Logic is used in the classification phase while HMM is used in the process of extracting features for the preparation of linguistic ...

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Fuzzy Rule based Novel Approach to Spam Filtering

Fuzzy Rule based Novel Approach to Spam Filtering

... The fuzzy classification contains fuzzy inference system and a set of ...proposed fuzzy rule based classification shown in figure ...

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A New Approach to Intelligent Model Based Predictive Control Scheme

A New Approach to Intelligent Model Based Predictive Control Scheme

... model based predictive control theory has been widely used in so many applications, in the past two ...This control theory guarantees that the future error signals will be approached to zero by ...

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Research on DC Charger Control Based on Expert Fuzzy PID

Research on DC Charger Control Based on Expert Fuzzy PID

... master control module, human-computer interaction, the system card reader module, measuring the billing module, print module, the background communication module, the remote communication module function ...

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IMPLEMENTING FUZZY CONTROLLER FOR WIND TURBINE CONTROL FOR ALL WIND SPEEDS --WITH REDUCED FUZZY RULE SET.

IMPLEMENTING FUZZY CONTROLLER FOR WIND TURBINE CONTROL FOR ALL WIND SPEEDS --WITH REDUCED FUZZY RULE SET.

... As the membership function selected for each input variable was five, the total number of fuzzy control rules forming the rule matrix to be written are (5x5=25) twenty five. At times it becomes ...

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Error estimation of ‎f‎uzzy Newton-Cotes method for Integration of fuzzy functions‎

Error estimation of ‎f‎uzzy Newton-Cotes method for Integration of fuzzy functions‎

... Nazanin Ahmady has got PhD de- gree from Islamic Azad Univer- sity Science and Research Branch in 2008 She has been member of the faculty in Islamic Azad Univer- sity Varamin-Pishva branch since 2005. Main research ...

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Estimate Output of a Production Unit in Production Possibility Set with Fuzzy Inference Mechanism

Estimate Output of a Production Unit in Production Possibility Set with Fuzzy Inference Mechanism

... [9] L. Coroianu, M. Gagolewski, P. Grzegorzewski, M. Adabitabar Firozja, T. Houlari, Piecewise Linear Approximation of Fuzzy Numbers Preserving the Support and Core, In: Laurent A. et al. (Eds.), Information ...

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Development Of Grey Fuzzy Controller For Power System Reliability Evaluation Problems And Preventive Maintenance Suggestions

Development Of Grey Fuzzy Controller For Power System Reliability Evaluation Problems And Preventive Maintenance Suggestions

... describe fuzzy random events. Zedeh (1965) defined fuzzy set in terms of the extension to indicator function of a normal subset into membership function of a subset into membership function of a ...

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Applying Fuzzy Rule Based System on FMEA to Assess the Risks on Project Based Software Engineering Education

Applying Fuzzy Rule Based System on FMEA to Assess the Risks on Project Based Software Engineering Education

... As mentioned above, this present study had two advantages. First, it can be de- veloped the supporting students to check the risks in their projects. Most people in engineering education have been using ...

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