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fuzzy control system optimization

Advanced Optimization of Single Area Power Generation System using Adaptive Fuzzy Logic and PI Control

Advanced Optimization of Single Area Power Generation System using Adaptive Fuzzy Logic and PI Control

... the system is unavailable [5]. Power system is a stochastic system that is highly affected by non-internal factors such as weather and change of ...varying system is a very challenging task ...

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Title: Improve DC Motor System using Fuzzy Logic Control by Particle Swarm Optimization in Use Scale Factors

Title: Improve DC Motor System using Fuzzy Logic Control by Particle Swarm Optimization in Use Scale Factors

... the system the mechanical load and this connected with electrical Motor so the input voltage to the DC Motor is voltage and the output of DC Motor is angle ( ) or speed ( ) it’s a derivative the angle according to ...

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MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

MODIFICATION OF FUZZY LOGIC RULE BASE IN THE OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM

... The cost of implementing Traffic Light Systems (TLSs) directly is quite high, and the importance of its proficiency requires that it first be simulated by tools before been put to use (Hao, Xingguo & Xuan, 2014; Qing ...

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Fuzzy Based Permanent Magnet Contactor Design, Optimization and Control

Fuzzy Based Permanent Magnet Contactor Design, Optimization and Control

... electric system, magnetic energy-conversion system, and mechanical ...conversion system of the ac PM contactor consists of a permanent magnet, and it is set on the fixed E-type core, of course, it ...

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Linear optimization of fuzzy relation inequalities with max-Lukasiewicz ‎composition

Linear optimization of fuzzy relation inequalities with max-Lukasiewicz ‎composition

... (FRE), fuzzy rela- problems have been investigated by many re- searchers in both theoretical and applied areas [4, 5, 8, 11, 13, 18, 32, 33, 35, ...instance, fuzzy control, fuzzy decision ...

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Optimization study of fuzzy parametric uncertain system

Optimization study of fuzzy parametric uncertain system

... nonlinear system have many problems such as uncertainty, disturbance, unknown exact mathematical model ...nonlinear system defined in terms of mathematical model doesn't have the exact parameter the ...

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Hybrid PSODE Algorithm Embedded with FPGA for Speed Control of BLDC Motor

Hybrid PSODE Algorithm Embedded with FPGA for Speed Control of BLDC Motor

... swarm optimization became a popular algorithm due to its simplicity and usage of few variables ...network, fuzzy logic, control of power electronics drives, image processing and system ...

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1.
													Ga based fuzzy logic controller for a pressure process station

1. Ga based fuzzy logic controller for a pressure process station

... the Fuzzy response, either online or ...classical optimization techniques such as gradient point method cannot be easily applied for this ...automatic control using GA-FLC is provided in ...adaptive ...

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Design Optimization of MagneShock Magnetorheological Shock Absorbers and Development of Fuzzy Logic Control Algorithms for Semi-Active Vehicle Suspensions

Design Optimization of MagneShock Magnetorheological Shock Absorbers and Development of Fuzzy Logic Control Algorithms for Semi-Active Vehicle Suspensions

... of fuzzy logic controlled MagneShocks™ over passive shocks, a vehicle was equipped and instrumented for field ...suspension system was installed on the front end only (Figure ...

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Boiler Drum Parameter Optimization by Fuzzy PID Control Technique

Boiler Drum Parameter Optimization by Fuzzy PID Control Technique

... Steam utilization process in boiler invokes three parameters which need the control. First controlled parameter is the water level in the drum. Steam generation consumes the water and water level keeps on changing ...

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OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM OF AN INTERSECTION USING FUZZY INFERENCE SYSTEM

OPTIMIZATION OF TRAFFIC LIGHT CONTROL SYSTEM OF AN INTERSECTION USING FUZZY INFERENCE SYSTEM

... In this case, the average waiting time for vehicles using the non- optimized signal plan was about 13seconds and that of the optimized signal plan was 3.14s which implies a 75.85% improvement. It should be observed from ...

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An Adaptive Fuzzy Logic Controller Trained by Particle Swarm Optimization for Line of Sight Stabilization

An Adaptive Fuzzy Logic Controller Trained by Particle Swarm Optimization for Line of Sight Stabilization

... global optimization capability, the genetic algorithm (GA) has become a useful tool for the automatic design of fuzzy control ...real-time control problems, the system model is unknown, ...

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Optimization of Tsukamoto Fuzzy Inference System
using Fuzzy Grid Partition

Optimization of Tsukamoto Fuzzy Inference System using Fuzzy Grid Partition

... used fuzzy partitioning methods in practice (particularly in control ...of fuzzy partition in their procedure for fuzzy rule extraction from numerical data ...

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Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops

Fuzzy Control Model Study on Precision Irrigation System for Water Stress in Crops

... Plants due to water shortage and the formation of the gas embolism, xylem catheter tension would suddenly release and produce shock, namely plant “acoustic emission” phenomenon. The cohesion theory in water transport ...

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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems

Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems

... swarm optimization (CPSO) is a newly developed optimization technique which combines the benefits of particle swarm optimization (PSO) and the chaotic ...chaotic optimization, in particular, ...

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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

... first system introduced in commercial vehicles with the potential to influence traffic safety was adaptive cruise control (ACC) ...cruise control (CC) – CC allows the driver to set a driving speed – in ...

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Machining Process Optimization By Colony Based Cooperative Search Technique

Machining Process Optimization By Colony Based Cooperative Search Technique

... a fuzzy inference system (FIS) whose membership function parameters are tuned using either a backpropagation algorithm alone, or in combination with a least squares type o f ...allows fuzzy systems ...

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LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE

LINKED OPEN GOVERNMENT DATA AS BACKGROUND KNOWLEDGE IN PREDICTING FOREST FIRE

... hybrid optimization algorithm is called as Hybrid Fuzzy PSO (HFPSO) is used to solve the dynamic economic load dispatch problem of 6 and 15 unit ...and fuzzy logic is used to tune the inertia ...

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Predicting the Collapsibility Potential of Unsaturated Soils Using Adaptive Neural Fuzzy Inference System and Particle Swarm Optimization

Predicting the Collapsibility Potential of Unsaturated Soils Using Adaptive Neural Fuzzy Inference System and Particle Swarm Optimization

... a simple indication of the system behavior. There are dierent methods for determining the primary model structure of fuzzy inference system, among which grid partition and Subtractive Clustering ...

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LOAD FREQUENCY CONTROL OF FOUR AREA POWER SYSTEM USING ARTIFICIAL INTELLIGENCE

LOAD FREQUENCY CONTROL OF FOUR AREA POWER SYSTEM USING ARTIFICIAL INTELLIGENCE

... the system frequency at nominal value (50 ...power system, the load demand is increased or decreased in the form of Kinetic Energy stored in generator prime mover set, which results the variation of speed ...

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