States and unknown input estimation via non-linear sliding mode high-gain observers for a glucose-insulin system

The example used in Section 4 to illustrate the behaviors of the design rules (10, 11) indicates that, although not adapted to the model-inversion problem considered here, those

Our estimation approach consists in three main parts, in accordance with the system’s structure: first, we transform the original system into a descriptor form by considering

Abstract— In this paper, a step by step algorithm is given to design functional unknown input observer for continuous nonlinear systems under the Polytopic Takagi-Sugeno

Comparing the unknown input and classical sliding mode observers given in [1] and the step by step sliding mode observer in presence of parametric uncertainties, we notice that

In the case of nonlinear sys- tem with unknown inputs represented by multiple model we have already proposed a technique for the state estimation of this multiple model by using

In this paper, some new theoretical results from a control theory point of view, concerning the design in a stochastic and so more realistic context of Unknown Input Observers

Sufficient existence conditions of the unknown inputs decoupling observers are given and strict linear matrix inequalities are solved to determine the gain of the observers so that

Compared to the existing re- sults in the literature, this paper deals with the unknown input observer design problem for a more general sort of linear time- delay systems where