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SUMMARY In this paper, the design of an interval observer with an adaptive dynamical gain is presented. The observer is formulated in the framework of robust state estimation of uncertain dynamical systems, where an interval that encloses the unknown state variables is provided. For a specific type of interval observer design, an optimal gain could provide(More)
Microalgae are a promising alternative for biofuel production since they can synthesize and accumulate considerable amounts of lipids. In this paper, we propose an interval observer for the estimation of the microalgal lipid quota. The observer is based on a change of coordinate that involves a time varying gain. We introduce a dynamics for the gain, whose(More)
Under stress conditions, microalgae are known to accumulate large amounts of neutral lipids and carbohydrates, which can be used for biofuel production. However, on-line measurement of microalgal biochemical composition is a difficult task which makes the microalgal process rather difficult to manage. In this paper, we propose a so called adaptive interval(More)
In this paper, the design of an interval observer with an adaptive dynamical gain is presented. The observer is formulated in the framework of robust state estimation of uncertain dynamical systems, where an interval that encloses the unknown state variables is provided. Here the observer is based on a change of coordinate that involves a time varying gain.(More)
Software sensors for state forecasting accompanied with fault residues Abstract: This document aims at presenting algorithms which will be the basis of software sensors used to estimate the non measured variables. The soft sensors are designed depending 1) of the used model to describe the anaerobic process (see deliverables D3.1a and D3.1b) 2) of the(More)
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