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S22 Mecatrônica |
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Titulo:
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A NEURAL NETWORK BASED CONTROL SCHEME FOR MULTIVARIABLE SYSTEMS
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Resumo :
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A MAJOR DIFFICULTY IN MULTIVARIABLE CONTROL DESIGN IS THE CROSS-COUPLING BETWEEN INPUTS AND OUTPUTS WHICH OBSCURES THE EFFECTS OF A SPECIFIC CONTROLLER ON THE OVERALL BEHAVIOR OF THE SYSTEM. THIS PAPER CONSIDERS THE APPLICATION OF NEURAL NETWORKS IN DECOUPLING MULTIVARIABLE OUTPUT FEEDBACK CONTROLLERS. SIMULATION RESULTS ARE PRESENTED TO SHOW THE FEASIBILITY OF THE PROPOSED TECHNIQUE.
KEYWORDS: NEURAL NETWORKS, SYSTEM DECOUPLING, CONTROL SYSTEMS.
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Autores :
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Fonseca, Marcos Oliveira
Galvez, Jose Maria
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Trabalho Completo :
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