High order sliding mode observers and differentiators-application to fault diagnosis problem
Lecture Notes in Control and Information Sciences
Health monitoring and timely fault diagnosis capabilities are essential requirements of many modern control engineering systems. Traditionally, these features have been of utmost importance in safety critical systems such as chemical industrials, civil/military aviation, or nuclear power plants, etc. However, in recent years, other factors have been playing a major role in recognizing the need for these capabilities in other complex systems. Generally speaking, the term fault is referred to any disturbances, errors, malfunctions or failures in the functional units that can lead to undesirable or intolerable behavior of a system. Some factors that have contributed to automatic fault detection, isolation, and accommodation (FDIA) problem to become an active area for research are: 1) the increasingly sophisticated industrial and consumer goods as a result of advances in electronics and computer technologies; 2) more interests in FDIA in manufacturing and process industries mainly due to economics and safety reasons; and 3) greater concerns over the air pollution and the environment in general. © 2008 Springer-Verlag Berlin Heidelberg.
Saif, Mehrdad; Chen, Weitian; and Wu, Qing. (2008). High order sliding mode observers and differentiators-application to fault diagnosis problem. Lecture Notes in Control and Information Sciences, 375, 321-344.