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.
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Stabilization of nonlinear systems using event-triggered output feedback controllers
TL;DR: The objective is to design output feedback event-triggered controllers to stabilize a class of nonlinear systems and proves to be applicable to linear time-invariant (LTI) systems as a particular case.
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Event-triggered tracking control of unicycle mobile robots
Romain Postoyan,Marcos Cesar Bragagnolo,Ernest Galbrun,Jamal Daafouz,Dragan Nesic,Eugênio B. Castelan +5 more
TL;DR: The proposed event-triggering strategy is able to significantly reduce the need for communication compared to a classical time-triggered setup while ensuring similar, if not better, tracking performances.
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Adaptive synchronization of uncertain chaotic colpitts oscillators based on parameter identification
TL;DR: In this article, a non-linear observer for synchronization of a chaotic colpitts oscillator both in the non-adaptive and adaptive cases is proposed, where all parameters of a totally uncertain model of the oscillator can be estimated through adaptive synchronization.
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Analysis and control of LTI and switched systems in digital loops via an event-based modelling
TL;DR: A new event based discrete-time model (an exponential uncertain system with delay) is presented and it is shown that the stabilizability of this system can be achieved by finding a control for a switched polytopic system with an additive norm bounded uncertainty.
Proceedings ArticleDOI
Comparison of overapproximation methods for stability analysis of networked control systems
Wpmh Maurice Heemels,Nathan van de Wouw,Rob H. Gielen,M.C.F. Donkers,Laurentiu Hetel,Sorin Olaru,Mircea Lazar,Jamal Daafouz,Silviu Niculescu +8 more
TL;DR: A particular class of techniques using discrete-time models that are based on polytopic overapproximations of the uncertain NCS model and lead to stability conditions in terms of linear matrix inequalities (LMIs) are surveyed.