scholarly journals A linear matrix inequality approach to robust fault detection filter design of linear systems with mixed time-varying delays and nonlinear perturbations

2010 ◽  
Vol 347 (6) ◽  
pp. 957-973 ◽  
Author(s):  
H.R. Karimi ◽  
M. Zapateiro ◽  
N. Luo
Keyword(s):  
Fault Detection ◽  
Linear Matrix Inequality ◽  
Filter Design ◽  
Linear Matrix ◽  
Time Varying ◽  
Matrix Inequality ◽  
Nonlinear Perturbations ◽  
Robust Fault Detection ◽  
Linear Matrix Inequality Approach ◽  
Detection Filter

Robust Fault Detection for Network-Based System with Time-Varying Bounded Delay

2012 ◽  
Vol 503-504 ◽  
pp. 1389-1392
Author(s):  
Li Min Chen
Keyword(s):  
Fault Detection ◽  
Flight Control ◽  
Upper Bound ◽  
Filter Design ◽  
Estimation Error ◽  
Linear Matrix ◽  
Fault Detection Filter ◽  
Detection Approach ◽  
Robust Fault Detection ◽  
Detection Filter

A robust fault detection approach for network-based system is discussed in this paper. The fault detection problem is converted into fault detection filter design. The network-induced delay is assumed to have both the upper bound and the lower bound, which is more general compared with only considering the upper bound. The Lyapunov-Krasovskii functional and the linear matrix inequality (LMI)-based procedure are adopted to design the filter. And the filter can guarantee that the estimation error satisfies the H∞ constraint. Fault detection filter is designed for a flight control system and the effectiveness is verified by the simulation results.

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