A robust fault detection based on functional interval observers for continuous-time multivari-able linear systems affected by sensor fault, unknown but bounded disturbance, and measurement noise is designed in this paper. An <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">H∞</tex> formalism is applied to guarantee the stability of the proposed observer and ensure the residual performance to avoid false alarms by solving Linear Matrix Inequalities (LMIs). Then, a fault detection decision is defined to identify the presence of faults. Finally, a numerical example is used to validate the proposed methodology.
No takes yet. Share an insight, caveat, or question.
Mizouri et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: