The lack of consistency ofmuch medical judgment and decision making has long been appreciated. This is now recognised as an important source of error, and attempts to quantify it have been enhanced by an increasingly sophisticated statistical toolbox at the disposal of the clinical investigator. Variability in measurement and classification may arise from two sources, (a) a lack of consistency ...

This paper deals with actuator fault estimation for a class of discrete-time Linear Parameter-Varying (LPV) descriptor systems. By considering the fault as an auxiliary state vector, an augmented system is established. Then, a fault estimation observer is designed based on the augmented system. In this paper, the fault estimation observer design is formulated as a Linear Matrix Inequality (LMI)...

The present paper provides a systematic way to generalize Takagi-Sugeno observer design for discrete-time nonlinear descriptor models. The approach is based on Finsler’s lemma, which decouples the observer gains from the Lyapunov function. The results are expressed as strict LMI constraints. To obtain more degrees of freedom without altering the number of LMI constraints and thus relax the cond...

— Control of nonlinear systems with unknown disturbances is considered in this paper using disturbance observer based control (DOBC) approach. The disturbances concerned are supposed to be time-varying but with bounded variation. For a nonlinear system with well-defined relative degree from the disturbances to the output, a nonlinear disturbance observer is presented to estimate the unknown dis...

In this paper, the properties of a high gain observer-based disturbance estimation are analysed, and a time delay calculation approach is proposed for improving the identification of model parameter variation. The focus of this paper is the time delay between the actual disturbance and its estimate in a high gain disturbance estimation observer. It is proved, in this paper, the delay depends on...

In this paper, an extended observer was investigated and then implemented for generating approximate state feedback for an Internal Combustion (IC) engine. IC engines are inherently highly nonlinear in nature, therefore, present a problem for system modeling and observer design. A state-dependent gain scheduling control was used to improve state estimation. An extended observer was implemented ...