D
Dominique Monnet
Researcher at Centre national de la recherche scientifique
Publications - 18
Citations - 151
Dominique Monnet is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Global optimization & Interval arithmetic. The author has an hindex of 4, co-authored 15 publications receiving 101 citations. Previous affiliations of Dominique Monnet include École des mines de Nantes & University of British Columbia.
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Journal ArticleDOI
ADJUVITE: a double-blind, randomised, placebo-controlled trial of adalimumab in early onset, chronic, juvenile idiopathic arthritis-associated anterior uveitis
Pierre Quartier,Amandine Baptiste,Amandine Baptiste,V. Despert,Emma Allain-Launay,Isabelle Koné-Paut,Alexandre Belot,Laurent Kodjikian,Dominique Monnet,Dominique Monnet,Michel Weber,Caroline Elie,Caroline Elie,Bahram Bodaghi +13 more
TL;DR: This trial is in favour of using adalimumab in patients with early onset, chronic anterior uveitis, which is in most cases associated with JIA, in case of inadequate response to topical therapy and MTX.
Journal ArticleDOI
A global optimization approach to H infinity synthesis with parametric uncertainties applied to AUV control
TL;DR: Given a Linear Time Invariant (LTI) system with parametric uncertainties, a new method to synthesize a structured controller with H ∞ constraints is proposed based on global optimization.
Proceedings ArticleDOI
A global optimization approach to structured regulation design under H ∞ constraints.
TL;DR: This paper presents a global optimization approach to the structured H∞ sensitivity problem, and is solved with a branch and bound algorithm based on interval arithmetic.
Journal Article
Computing an Inner and an Outer Approximation of the Viability Kernel
TL;DR: This paper proposes a method which computes an inner and an outer approximation of the viability kernel in a guaranteed way based on interval analysis and uses the notions of V-viability and capture basin.
Book ChapterDOI
Global Optimization of $$H_\infty $$ Problems: Application to Robust Control Synthesis Under Structural Constraints
TL;DR: A new technique to compute a synthesis structured Robust Control Law is developed based on global optimization methods using a Branch-and-Bound algorithm to accelerate the convergence.