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Jamal Daafouz

Researcher at University of Lorraine

Publications -  205
Citations -  7317

Jamal Daafouz is an academic researcher from University of Lorraine. The author has contributed to research in topics: Linear system & Lyapunov function. The author has an hindex of 36, co-authored 197 publications receiving 6501 citations. Previous affiliations of Jamal Daafouz include Centre national de la recherche scientifique & Intelligence and National Security Alliance.

Papers
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Proceedings ArticleDOI

Static output stabilisation of singular LPV systems: LMI formulation

TL;DR: To introduce more of relaxation, polyquadratic Lyapunov functions is proposed instead of quadratic method, the number of LMI conditions is reduced and extra degrees of freedom are included.
Posted Content

Modal occupation measures and LMI relaxations for nonlinear switched systems control

TL;DR: In this paper, a primal-dual moment-sum-of-squares (SOS) linear matrix inequalities (LMI) is used to solve the problem of optimal control of nonlinear switched systems.
Journal ArticleDOI

Min-switching local stabilization for discrete-time switching systems with nonlinear modes

TL;DR: In this article, the authors proposed a switching rule based on the min-switching policy induced by sufficient conditions given by Lyapunov-Metzler inequalities to provide a stabilization inside an estimate of the origin's basin of attraction.
Journal ArticleDOI

Stabilisation of Singular LPV Systems

TL;DR: In this paper, sufficient conditions on controllers design are developed in the LMI (Linear Matrix Inequality) terms, and an approach based on polyquadratic Lyapunov functions is proposed to reduce the conservatism of the developed result using quadratic method.
Journal ArticleDOI

Robust stability analysis and control design for switched uncertain polytopic systems

TL;DR: In this paper, a robust stability analysis and control synthesis for discrete time uncertain switching systems under arbitrary switching is proposed, where the authors show that Lyapunov functions that depend on the uncertain parameter and take into account the structure of the system may be used to reduce the conservatism related to uncertainty problems.