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In this paper, we investigate the stabilization of a nonlinear plant subject to network constraints, under the assumption of partial knowledge of the plant state. The event triggered paradigm is used for the observation and the control of the system. Necessary conditions, making use of the ISS property, are given to guarantee the existence of a triggering(More)
In this paper, we investigate the stabilization of a linear plant subject to network constraints, partial state knowledge and time varying bounded parameter uncertainties. An event–triggered version of the Luenberger observer is proposed, and necessary conditions on the uncertainties are given in term of LMI’s to enable output– based stabilization under(More)
In this paper we investigate the observation problems for a class of nonlinear Lipschitz systems, subject to network constraints. In order to address this problem, an impulsive observer is designed, making use of the event–triggered technique in order to diminish the network usage. The proposed observer ensures practical state estimation. The output(More)
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