T-S Fuzzy HâObserver-Controller Design for 2-D Systems
Keywords: 2, D T, S fuzzy systems; F, based control; Linear Matrix Inequality
Abstract
The paper investigates the design problem of fuzzy observer-based Hâ control for two-dimensional 2-D discrete-time Takagi-Sugeno (T-S) fuzzy systems described by the second Fornasini-Marchesini F-M model. The use of fuzzy Lyapunov functions and free-weighting matrices allows to implement a new design process. Then, using certain particular derivations, Bi-linear Matrix Inequalities (BMIs) are successfully turned into a set of Linear Matrix Inequalities (LMIs) that can be solved in a single step. Then, the presented method allows simultaneously computing the fuzzy observer and controller gains, with a prescribed Hâ noise attenuation γ for the whole system. Finally, a practical example is provided to verify the effectiveness and applicability of the proposed observer-based fuzzy control approach.
Más información
| Título según SCOPUS: | T-S Fuzzy HâObserver-Controller Design for 2-D Systems |
| Título de la Revista: | 2022 IEEE International Conference on Automation/25th Congress of the Chilean Association of Automatic Control: For the Development of Sustainable Agricultural Systems, ICA-ACCA 2022 |
| Editorial: | Institute of Electrical and Electronics Engineers Inc. |
| Fecha de publicación: | 2022 |
| Idioma: | English |
| DOI: |
10.1109/ICA-ACCA56767.2022.10006239 |
| Notas: | SCOPUS |