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  4. Takagi-Sugeno Fuzzy Control of the Cart-Inverted Pendulum System: Linear Matrix Inequalities Application
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Takagi-Sugeno Fuzzy Control of the Cart-Inverted Pendulum System: Linear Matrix Inequalities Application

Journal
2024 Ieee International Conference on Automation/26th Congress of the Chilean Association of Automatic Control, Ica-Acca 2024
Date Issued
2024
Author(s)
Acosta-Barbosa, K  
Orellana-Prato, R  
El Aiss-Berazouq, H  
DOI
https://doi.org/10.1109/ICA-ACCA62622.2024.10766461
Abstract
This paper addresses the stabilization problem of an inverted pendulum system. A Takagi-Sugeno fuzzy model by incorporating an intermediate state in terms of the angular position is developed. In order to stabilize the nonlinear inverted pendulum system, a Takagi-Sugeno fuzzy state feedback control is developed. The proposed control strategy shares the same membership functions of the proposed fuzzy model. The stabilization condition is formulated as a linear matrix inequality by utilizing a Lyapunov function, in order to provide more optimized responses based on the practical limitations proposed in the article. Finally, the benefits of our proposal are illustrated via numerical simulations. © 2024 IEEE.
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