Ibtissem Bouraoui

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A continuous–discrete time observer is proposed for a class of uncertain nonlinear systemswhere the output is available only at non uniformly spaced sampling instants. The underlying correction term depends on the output observation error and is updated in a mixed continuous-discrete fashion. The proposed observer is first introduced under a set of(More)
This paper presents a continuous-discrete time observer for a class of uncertain nonlinear systems with non uniformly sampled measurements. Two features of the proposed observer are worth to be pointed out. The first one consists in the simplicity of its calibration, while the second one lies in its comprehensive convergence analysis. More specifically, it(More)
In this paper, one aims at addressing the adaptive observer design for a class of multivariable nonlinear systems with Lipschitz nonlinearities. Two adaptive observers have been derived using two different approaches issued from an overview of the available adaptive observer design literature. The first one is a natural extension of a recently proposed(More)
In this paper, an adaptive observer is proposed for a class of uniformly observable nonlinear systems with nonlinear parametrization. The main novelty of the proposed observer is the introduction of characteristic indices, which allow a natural construction of the gain matrix. The main properties of the proposed observer are highlighted in simulation(More)
In this paper, an adaptive observer is proposed for a class of uniformly observable nonlinear systems with nonlinear parametrization. The main novelty of the proposed observer is the introduction of characteristic indices, which allow a natural construction of the gain matrix. The main properties of the proposed observer are highlighted in simulation(More)
This paper deals with adaptive observers designs for some class of uniformly observable systems. Indeed, an adaptive observer is proposed for the on-line estimation of the state and the unknown parameters involved in the system dynamics as well as in the output expression. It is shown that the equations of the proposed observer can be derived using two(More)
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