State observation, failure detection and isolation (FDI) in bilinear systems

Fault diagnosis for a class of nonlinear systems via ESO

“…So the study of FDI algorithms for nonlinear systems plays an important role in practical applications. In recent years, fault detection and identification problems for nonlinear systems have attracted much attention among researchers and many fruitful results have been achieved [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. Strong tracking filter has been successfully used for the fault diagnosis for a class of nonlinear systems [8].…”

Model-Based FDI Schemes For Robot Manipulators Using Soft Computing Techniques

“…ξ(t) defines state www.intechopen.com estimator (Garcia & Frank, 1997). In the literature, there are some nonlinear observer desing approaches defined for certain type nonlinear systems (Frank & Ding, 1997;Adjallah et al, 1994;Garcia & Frank, 1997;Seliger & Frank, 1991;Yang & Saif, 1995;Kinnaert, 1999). All approaches mentioned below use analytical methods but it is hard to obtain analytical models which nonlinear observers are based on.…”

Robust Fault Detection for a Class of Uncertain Nonlinear Systems Based on Multiobjective Optimization

“…If the residual signal is below the threshold, there is no fault occurring. Moreover, we can use the residual evaluation function ‖ ( )‖ 2 to detect system faults [20,21].…”