Escaño, Juan ManuelBordons, CarlosRoshany-Yamchi, SamiraWitheephanich, KritchaiRubillon, Jean Michel2022-02-082022-02-082016Escaño, 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.9788497498081978-84-617-4298-1 (UCM)978-84-9749-808-1 (UDC electrónico)http://hdl.handle.net/2183/29730[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 modelengAtribución-NoComercial-CompartirIgual 4.0 Internacionalhttps://creativecommons.org/licenses/by-nc-sa/4.0/deed.esFuzzy modellingModel predictive controlComplexity reductionconference outputopen access10.17979/spudc.9788497498081.1250