Scientific Publications

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Abstract

This work concerns the model reference fault tolerant tracking Control problem for uncertain Takagi-Sugeno (T-S) models with unmeasurable premise variables. The idea is to synthesize a fault tolerant controller with a guaranteed L_2 performance to attenuate the tracking error for bounded reference inputs. Based on Lyapunov theory, new less conservative approach is proposed in terms of Linear Matrix Inequalities (LMIs). A descriptor observer is needed to estimate simultaneously the sensor faults and the system states in order to reconfigure the FTC law. A numerical example is considered to illustrate the effectiveness of the proposed FTC tracking performance approach.


BibTex

@inproceedings{uniusa407,
    title={Model Reference Tracking Control for Uncertain Takagi-Sugeno Systems subject to Sensor Faults},
    author={Sabrina AOUAOUDA and Mohammed Chadli},
    year={2015},
    booktitle={9th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Safeprocess 2015, At Paris}
}