… Then, the bound of noise frequency is estimated, by determining the online/offline time
constant in the adaptive term of the observer. This approach makes the algorithm more robust …

… to measure it directly through sensors. Therefore, … model with produced power and exhausted
gas temperature as its outputs is chosen. Thereafter, an adaptive surface sliding observer …

… In this scheme, a sliding mode observer is integrated with the … from sensors (extracting two
outputs from each sensor) … feedback term of each observer, and λ(k) is its adaptive term. In the …

… by using sliding mode observers [14]. addressed the problem of sensor fault diagnosis, and
… a non-homogeneous high-order sliding mode observer and was applied to a large transport …

… A sliding mode observer concerned with fault detection and … , as no adjustment or adaptation
of the controller gains took place… laws, a general gas turbine simulation was designed using …

… The architecture contains real-time adaptive performance model (RTAPM) to estimate
health … [8] investigated a SMO-based sensor fault diagnosis scheme for a gas turbine under …

… , we study actuator faults and sensor faults diagnosis of the … basic research on aero engine
and gas turbine, with a view to … Lu, ‘‘Adaptive sliding mode control of dynamic systems using …

In this paper, two different adaptive strategies are presented for continuous time uncertain
nonlinear systems with unknown disturbances and faults. In first strategy, a sliding mode …

… Adaptive observers and robust adaptive methods for fault … Due to the inherent robustness of
sliding mode algorithms to … and fault diagnosis and reconstruction methods based on sliding …

… , sensor fault diagnosis approach for gas turbine control … a sliding mode to obtain more
information from the sensors, … using Monte Carlo-based adaptive threshold approach,” ISA …