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Volumn , Issue , 2007, Pages 397-401
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Anfis based automatic voltage regulator with hybrid learning algorithm
a,e
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Author keywords
Adaptive neuro fuzzy inference system; AVR; Hybrid learning algorithm; Sugeno fuzzy model
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Indexed keywords
ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM;
AUTOMATIC VOLTAGE REGULATOR;
AVR;
DAMPING CHARACTERISTICS;
DESIGN METHODOLOGIES;
DIGITAL SIMULATIONS;
ERROR BACK-PROPAGATION;
FUNCTION PARAMETERS;
HYBRID LEARNING ALGORITHM;
HYBRID LEARNING ALGORITHMS;
LEAST SQUARE ESTIMATION;
LEAST SQUARE LS METHOD;
LINEAR OUTPUT;
POWER ENGINEERING;
POWER SYSTEMS;
ROTOR ANGLE;
SIMULATION RESULTS;
SINGLE MACHINE INFINITE BUS SYSTEM;
SMALL SIGNAL STABILITY;
SMALL SIGNALS;
SUGENO-FUZZY MODEL;
TERMINAL VOLTAGES;
ZERO-ORDER;
ADAPTIVE ALGORITHMS;
ALGORITHMS;
BACKPROPAGATION;
BACKPROPAGATION ALGORITHMS;
CURVE FITTING;
DAMPING;
EDUCATION;
ELECTRIC POTENTIAL;
ELECTRIC POWER SYSTEMS;
ELECTRIC POWER TRANSMISSION NETWORKS;
FUZZY INFERENCE;
FUZZY SYSTEMS;
GEODESY;
INFERENCE ENGINES;
LEARNING SYSTEMS;
LEAST SQUARES APPROXIMATIONS;
MEMBERSHIP FUNCTIONS;
PARAMETER ESTIMATION;
POWER TRANSMISSION;
SYSTEM STABILITY;
TECHNOLOGY;
THREE TERM CONTROL SYSTEMS;
TUNING;
VOLTAGE CONTROL;
VOLTAGE REGULATORS;
VOLTAGE STABILIZING CIRCUITS;
LEARNING ALGORITHMS;
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EID: 51849158851
PISSN: None
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1109/UPEC.2007.4468980 Document Type: Conference Paper |
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Times cited : (21)
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References (5)
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