Simplified Fuzzy Model Based Predictive Control for a Nonlinear System
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http://hdl.handle.net/2183/29730
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Simplified Fuzzy Model Based Predictive Control for a Nonlinear SystemFecha
2016Cita bibliográfica
Escaño, J.M., Bordons, C., Roshany-Yamchi, S., Witheephanich, K., Rubillon, J.M. Simplified fuzzy model based predictive control for a nonlinear system. En Actas de las XXXVII Jornadas de Automática. 7, 8 y 9 de septiembre de 2016, Madrid (pp. 1250-1256). DOI capítulo: https://doi.org/10.17979/spudc.9788497498081.1250 DOI libro: https://doi.org/10.17979/spudc.9788497498081
Resumen
[Abstract] 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
Palabras clave
Fuzzy modelling
Model predictive control
Complexity reduction
Model predictive control
Complexity reduction
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Atribución-NoComercial-CompartirIgual 4.0 Internacional
ISBN
978-84-617-4298-1 (UCM) 978-84-9749-808-1 (UDC electrónico)
