J
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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Stability analysis and control synthesis for switched systems: a switched Lyapunov function approach
TL;DR: The approach followed in this paper looks at the existence of a switched quadratic Lyapunov function to check asymptotic stability of the switched system under consideration and shows that the second condition is, in this case, less conservative.
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Parameter dependent Lyapunov functions for discrete time systems with time varying parametric uncertainties
Jamal Daafouz,Jacques Bernussou +1 more
TL;DR: It is shown that extending the new discrete time stability condition proposed by de Oliveira et al. to the case of time varying uncertainty leads to a necessary and sufficient condition for the computation of such a Lyapunov function.
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Controller synthesis for networked control systems
M.B.G. Cloosterman,Laurentiu Hetel,N. van de Wouw,Wpmh Maurice Heemels,Jamal Daafouz,Henk Nijmeijer +5 more
TL;DR: A discrete-time model for networked control systems (NCSs) that incorporates all network phenomena: time-varying sampling intervals, packet dropouts and time- varying delays that may be both smaller and larger than the sampling interval is presented.
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Stabilization of Arbitrary Switched Linear Systems With Unknown Time-Varying Delays
TL;DR: The main contribution of this note is to show that the control synthesis problem in the context of unknown time varying delays can be expressed as a problem of stabilizability for uncertain systems with polytopic uncertainties.
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Observer-Based Control of Discrete-Time LPV Systems With Uncertain Parameters $ $
TL;DR: In this article, linear matrix inequality-based design conditions are presented for observer-based controllers that stabilize discrete-time linear parameter-varying systems in the situation where the parameters are not exactly known, but are only available with a finite accuracy.