Simplified fuzzy model based predictive control for a nonlinear system

• Juan Manuel Escaño ^[1] ; Carlos Bordon ^[1] ; Samira Roshany-Yamchi ^[2] ; Kritchai Witheephanich ^[2] ; Jean Michel Rubillon ^[2]
  1. [1] Universidad de Sevilla

     Universidad de Sevilla

     Sevilla, España

     
  2. [2] Cork Institute of Technology

     Cork Institute of Technology

     Irlanda

     
• Localización: Actas de las XXXVII Jornadas de Automática: Madrid. 7, 8 y 9 de septiembre de 2016, 2016, ISBN 978-84-9749-808-1, págs. 1250-1256
• Idioma: inglés
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• Resumen

  • A reduced complexity fuzzy model has been developed to capture the nonlinear dynamics of a mechanical system. The use of Functional Principal Analysis to reduce the complexity of the model permitted the use of a linear controller based on that model