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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
More filters
Journal ArticleDOI

Suboptimal Switching State Feedback Control Consistency Analysis for Switched Linear Systems

TL;DR: In this article, the authors introduce the concept of consistency for continuous-time switched linear systems having the switching function as a primary control signal to be designed, and prove that a min-type switching strategy is strictly consistent for the classes of H2 and H∞ performance indexes.
Proceedings ArticleDOI

Observer-based switched control design for discrete-time switched systems

TL;DR: The main result consists in proving a separation principle for linear discrete-time switched systems which means the design of the switched state feedback control and the switched observer can be carried out independently.
Journal ArticleDOI

Trajectory-dependent filter design for discrete-time switched linear systems

TL;DR: In this article, trajectory-dependent filtering design for discrete-time switched linear systems is studied, and the optimal filter design reduces to the solution of a convex optimization problem expressed in terms of linear matrix inequalities.
Proceedings ArticleDOI

LMI sufficient conditions for the consensus of linear agents with nearly-periodic resets

TL;DR: The consensus value of this model depends only on the initial condition and the interaction topologies and is provided in Linear Matrix Inequality form for the global uniform exponential stability of the consensus in presence of an almost periodic reset rule.
Proceedings ArticleDOI

Optimal switching control design for polynomial systems: an LMI approach

TL;DR: A new LMI approach to the design of optimal switching sequences for polynomial dynamical systems with state constraints has a guarantee of global optimality, in the sense that an asympotically converging hierarchy of lower bounds on the achievable performance is obtained.