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Article Dans Une Revue Automatica Année : 2022

Gain-scheduled observer-based consensus for linear parameter varying multi-agent systems

Résumé

This paper investigates the gain-scheduled observer-based consensus of linear parameter varying (LPV) multi-agent systems (MASs). The main contribution of the paper is that, differently from LPV observer-based consensus design methods previously reported in the literature, the controller and observer gains are allowed to be functions of some time-varying parameter vector, which can be measured in real-time. It is shown that, under the assumption of synchronized varying parameter trajectories, the design conditions can be described as a feasibility problem involving a finite number of linear matrix inequalities (LMIs). The obtained results are illustrated by means of a numerical example.

Dates et versions

hal-03468088 , version 1 (06-12-2021)

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Damiano Rotondo, Jean-Christophe Ponsart, Didier Theilliol. Gain-scheduled observer-based consensus for linear parameter varying multi-agent systems. Automatica, 2022, 135, pp.109979. ⟨10.1016/j.automatica.2021.109979⟩. ⟨hal-03468088⟩
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