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fuzzy behavior-based reactive control

Fuzzy Logic based Power Factor Control of Synchronous Machine

Fuzzy Logic based Power Factor Control of Synchronous Machine

... PF fuzzy Controller for reactive power compensation is investigated in a single machine connected to infinite bus system with ...dynamic behavior of SM analysis. This machine is used to ...

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FuDyLBA: A Traffic Engineering Load Balance Scheme for MPLS Networks Based on Fuzzy Logic

FuDyLBA: A Traffic Engineering Load Balance Scheme for MPLS Networks Based on Fuzzy Logic

... scheme based on a load balance reactive method for congestion control in MPLS networks that makes use of local search and fuzzy logic ...algorithm based on the “First-Improve Dynamic ...

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Probabilistic Fuzzy Control of Mobile Robots for Range Sensor Based Reactive Navigation

Probabilistic Fuzzy Control of Mobile Robots for Range Sensor Based Reactive Navigation

... Generally, reactive navigation refers to the navigation control without map-building and global ...the reactive navigation system is designed to help the robot moves in a local area freely and ...

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Experimental Study of Short-term Training in Social Cognition in Pre-schoolers

Experimental Study of Short-term Training in Social Cognition in Pre-schoolers

... One surprising result was that SIP training did not significantly enhance RES score compared with other groups. Contrary to expectation, the SIP group was not the one that displayed the greatest improvement in RES. ...

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id iq Control Strategy for Mitigation of Current Harmonics with Fuzzy Logic Controller Using Matlab/Simulation and RTDS Hardware

id iq Control Strategy for Mitigation of Current Harmonics with Fuzzy Logic Controller Using Matlab/Simulation and RTDS Hardware

... and Reactive current control strategy with Fuzzy controller is devel- oped to mitigate the current harmonics in three phase four wire system using Matlab/simulink environment and it verified with ...

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IntelliDyLBA: A Load Balance Scheme for MPLS Networks with Genetic Algorithm Based Auto-Learning and Fuzzy Logic Techniques

IntelliDyLBA: A Load Balance Scheme for MPLS Networks with Genetic Algorithm Based Auto-Learning and Fuzzy Logic Techniques

... different fuzzy controller is ...12 fuzzy controllers mentioned ...current fuzzy controller in IntelliDyLBA sets off a change in this standard deviation, which is them stored in the “learning matrix” ...

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Asingle Phase Active Device for Power QualityImprovement of Electric Field Transportation

Asingle Phase Active Device for Power QualityImprovement of Electric Field Transportation

... proposed control algorithm is formed by using three source voltages and three load currents as its input, the same six parameters are taken as input to the ...

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On hybrid intelligence-based control approach with its application to flexible robot system

On hybrid intelligence-based control approach with its application to flexible robot system

... as control, electronics, computer, mechanics and ...the fuzzy-based concepts can be discussed in the area of control systems of smart ...the control system of a flexible robot ...under ...

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State-of-the-Art Congestion Control Protocols in WSN: A Survey

State-of-the-Art Congestion Control Protocols in WSN: A Survey

... congestion control protocols in ...traffic- based and ...congestion control protocols are simple in nature and cost-effective as ...congestion control protocols are needed that control ...

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Implementation of Fuzzy Logic Controller for PV Interfaced Grid Connected PBT Based DSTATCOM for Real and Reactive Power Control

Implementation of Fuzzy Logic Controller for PV Interfaced Grid Connected PBT Based DSTATCOM for Real and Reactive Power Control

... paper Fuzzy logic controller for PV Interfaced Grid connected PBT (Power Balance Theory) based DSTATCOM (Distribution Static Compensator) for real and reactive power control is elaborated and ...

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Battery Equalization Control Strategy Based on Fuzzy Control

Battery Equalization Control Strategy Based on Fuzzy Control

... U = {S M B} (6) The output variable I eq is related to the two input variables  U and U . The equalization current determines the equalization time of the battery directly. The balancing current is small, the ...

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Fuzzy Logic Based CSTR Control

Fuzzy Logic Based CSTR Control

... to control the common parameters like temperature and ...technique, fuzzy logic has been applied to control the temperature at which the process in ...

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STUDY OF ISSUES IN AUTOMATIC VEHICLE OVERTAKING SYSTEM FOR ACCIDENT AVOIDANCE

STUDY OF ISSUES IN AUTOMATIC VEHICLE OVERTAKING SYSTEM FOR ACCIDENT AVOIDANCE

... advanced system is lane keeping assistance (LKA) which provides limited additional steering torque to aid the driver in maintaining the vehicle within the lane if a potential lane departure is detected. In previous work, ...

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Economic Based Neural Control Switching of TCR and TSC for Optimal Reactive Power Flow and Harmonic Minimization with Fuzzy Genetic

Economic Based Neural Control Switching of TCR and TSC for Optimal Reactive Power Flow and Harmonic Minimization with Fuzzy Genetic

... Optimal Reactive Power Flow (ORPF) for improving voltage profile and power loss reduction is very important in power system planning; though its method, constraints, and quality of compensation are very ...of ...

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ADMITTANCE BASED CONTROL OF A STANDALONE SOLAR PHOTO-VOLTAIC HYBRID SYSTEM

ADMITTANCE BASED CONTROL OF A STANDALONE SOLAR PHOTO-VOLTAIC HYBRID SYSTEM

... Separate excitation control is not required for PMSG driven by diesel engine. The machine is less maintenance robot construction with brushless [9]. Since the power output of PV array is varying a BESS is provided ...

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A hierarchy fuzzy evaluation of CFRP machining processes based on the fuzzy soft set theory and subjectivity control

A hierarchy fuzzy evaluation of CFRP machining processes based on the fuzzy soft set theory and subjectivity control

... some fuzzy and uncertain concepts like “good/bad”, “high/low”, “long/short” describe the CFRP cross-section quality, process cost and production period; (2) As different applications have their special performance ...

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Evaluation of machine learning techniques for imbalanced data in IDS

Evaluation of machine learning techniques for imbalanced data in IDS

... The difficulty faced by IDS is highly imbalanced data distribution (Wu and Banzhaf, 2010; Zainal, 2011). Imbalanced data further make difficult the anomaly detection cases. Most of the studies implementing supervised ...

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A Fuzzy logic Approach for Continuous Co polymerization Reactor Control Problem

A Fuzzy logic Approach for Continuous Co polymerization Reactor Control Problem

... and control relay on intuition, sound engineering judgment and past experience, and heuristic ...and control of polymerization ...Quality control is interpreted as proper recipe formulation, optimal ...

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Fuzzy based temperature and humidity control for HVAC of electric vehicle

Fuzzy based temperature and humidity control for HVAC of electric vehicle

... HVAC control is to automatically achieve the thermal comfort, regardless of time varying weather ...humidity control strategy for HVAC based on Fuzzy Logic Control ...temperature ...

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Fuzzy and PI Controller Based SHAF for Mitigation of Current Harmonics with P Q Method Using Matlab and RTDS Hardware

Fuzzy and PI Controller Based SHAF for Mitigation of Current Harmonics with P Q Method Using Matlab and RTDS Hardware

... Instantaneous active and reactive theory (p-q theory) was introduced by H. Akagi, Kawakawa, and Nabae in 1984 [1]. Since then, many scientists [2-6] and engineers made significant contributions to its ...

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