Journal
INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING
Volume 27, Issue 12, Pages 1031-1047Publisher
WILEY
DOI: 10.1002/acs.2374
Keywords
Takagi-Sugeno fuzzy models; descriptor approach; fault detection; disturbance; LMI
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This paper investigates the problem of robust fault detection observer design for nonlinear Takagi-Sugeno models with unmeasurable premise variables subject to sensor faults and unknown bounded disturbance. The main idea is to synthesize a robust fault detection observer by means of a mixed H-/H performance index. The considered observer is used to estimate jointly states and faults. Using the technique of descriptor system representation, we proposed a new less-conservative approach in term of a linear matrix inequality (LMI) by considering the sensor fault as an auxiliary state variable. A solution of the problem is obtained by using an iterative LMI procedure. Copyright (c) 2012 John Wiley & Sons, Ltd.
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