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.

Information

Item Type:	Conference
Divisions:	» Laboratory of Electrical Engineering and Renewable Energy » Faculty of Science and Technology
ePrint ID:	407
Date Deposited:	2015-09-09
Further Information:	Google Scholar
URI:	https://www.univ-soukahras.dz/en/publication/article/407

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