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SR21 Redes Neurais, Algoritmos Genéticos e Lógicas Nebulosa/Neural |
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Titulo:
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PARALLEL EIGENSTRUCTURE ASSIGNMENT VIA LINEAR QUADRATIC DESIGN AND MUKTIOBJECTIVE GENETIC ALGORITHM WITH DOUBLE FITNESS FUNCTIONS
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Resumo :
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A STRATEGY FOR EIGENSTRUCTURE ASSIGNMENT BASED ON LINEAR QUADRATIC
DESIGN AND PARALLEL MULTIOBJECTIVE GENETIC ALGORITHM IS PRESENTED
IN THIS PAPER. THE MAIN CONTRIBUTION OF THIS WORK IS TO PRESENT
THE DEVELOPMENT OF THE STRATEGY TO GUIDE A GA-OPTIMIZER
BASED ON PARETO OPTIMALITY, NICHE INDUCTION METHOD, PROGRESSIVE
ARTICULATION OF PREFERENCES AND THE UTILIZATION OF TWO DIFFERENT
FITNESS FUNCTIONS.THE FINAL DESIGN RESULT IS A STATE FEEDBACK
CONTROLLER THAT PROVIDES THE REQUIRED EIGENSTRUCTURE AND WHOSE
PERFORMANCE IS VERIFIED USING AN AIRCRAFT STATE SPACE MODEL. |
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Autores :
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Bottura, Celso Pascoli
Fonseca Neto, Joao Viana.
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Trabalho Completo :
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