Simplified Fuzzy Model Based Predictive Control for a Nonlinear System

[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 modelThe authors gratefully acknowledge the Spanish Ministry of Economy and Competitivenes for its financial support of part of this work through the grant DPI2013-46912-C2-1https://doi.org/10.17979/spudc.978849749808