M
Michel C. Delfour
Researcher at Centre de Recherches Mathématiques
Publications - 143
Citations - 5677
Michel C. Delfour is an academic researcher from Centre de Recherches Mathématiques. The author has contributed to research in topics: Shape optimization & Boundary (topology). The author has an hindex of 32, co-authored 140 publications receiving 5463 citations. Previous affiliations of Michel C. Delfour include Université de Montréal & École Normale Supérieure.
Papers
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Book
Representation and Control of Infinite Dimensional Systems
TL;DR: In this paper, the authors present a semi-group method for systems with unbounded control and Observation Operators Differential Systems with Delays (DOS) with delays.
Book
Shapes and Geometries: Analysis, Differential Calculus, and Optimization
TL;DR: Shapes and Geometries: Analysis, Differential Calculus, and Optimization as discussed by the authors provides a self-contained presentation of the mathematical foundations, constructions, and tools necessary for studying problems where the modeling, optimization, or control variable is no longer a set of parameters or functions but the shape or the structure of a geometric object.
Representation and Control of Infinite Dimensional Systems, 2 nd edition
TL;DR: In this article, the convergence angle of a charged particle probe is adjusted independent of the current in the probe by using an auxiliary condenser lens, which is installed between the objective lens and the aperture.
Journal ArticleDOI
Modeling stabilization and control of serially connected beams
TL;DR: In this article, the authors considered the simplest type of such structures which is formed by N seri..., a large number of components coupled end to end in the form of a chain.
Book
Shapes and Geometries: Metrics, Analysis, Differential Calculus, and Optimization
TL;DR: Shapes and Geometries: Metrics, Analysis, Differential Calculus, and Optimization, Second Edition as mentioned in this paper provides a self-contained presentation of the mathematical foundations, constructions, and tools necessary for studying problems where the modeling, optimization, or control variable is the shape or the structure of a geometric object.