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Optimal control using feedback linearization for a generalized T-S model

AuthorsJiménez, Agustín ; Al-Hadithi, Basil Mohammed ; Pérez-Oria, J.; Alonso, L.
KeywordsFeedback linearization
Control nonlinear systems
Issue Date2014
CitationIFIP Advances in Information and Communication Technology 436: 466- 475 (2014)
AbstractIn this paper, a fuzzy feedback linearization is used to control nonlinear systems described by Takagi-Suengo (T-S) fuzzy systems. In this work, an optimal controller is designed using the linear quadratic regulator (LQR). The well known weighting parameters approach is applied to optimize local and global approximation and modelling capability of T-S fuzzy model to improve the choice of the performance index and minimize it. The approach used here can be considered as a generalized version of T-S method. Simulation results indicate the potential, simplicity and generality of the estimation method and the robustness of the proposed optimal LQR algorithm. © IFIP International Federation for Information Processing 2014.
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