Details

Autor(en) / Beteiligte

• Naami, Ghali
• Ouahi, Mohamed
• Rabhi, Abdelhamid
• Tadeo, Fernando
• Bui Tuan, Viet Long

Titel

H∞ Observer-Based Control for Uncertain Takagi-Sugeno Fuzzy Systems with Application to a four-Tank Process

Ist Teil von

• 2021 29th Mediterranean Conference on Control and Automation (MED), 2021, p.633-638

Ort / Verlag

IEEE

Erscheinungsjahr

2021

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• The design of H ∞ observer-based controllers for nonlinear systems represented by Takagi-Sugeno models in continuous time is studied here, in the presence of parameter uncertainties and external disturbances. Conditions are developed in terms of Linear Matrix Inequalities (LMIs), thanks to a change of variables to avoid bilinear terms. Thanks to this, observer and controller gains can be deduced in terms of LMIs conditions, which can be practically solved in a single step. The simulation of a four-tank lab system is used to show the advantage of the methodology proposed, revealing a good compromise between the controller simplicity and conservatism, outperforming previous approaches.