The double scaling limit of random tensor models

Tensor models generalize matrix models and generate colored triangulations of pseudo-manifolds in dimensions $D\geq 3$. The free energies of some models have been recently shown to admit a double scaling limit, i.e. large tensor size $N$ while tuning to criticality, which turns out to be summable in dimension less than six. This double scaling limit is here extended to arbitrary models. This is done by means of the Schwinger--Dyson equations, which generalize the loop equations of random matrix models, coupled to a double scale analysis of the cumulants.Comment: 37 pages, 13 figures; several references were added. A new subsection was added to first present all the results (before the technical proofs which will follow). A misprint was correcte

Sur la gestion échantillonnée de l'énergie d'un système - pile à combustible-super condensateurs

International audienceIl s'agit d'illustrer les performances d'une commande non lin eaire echantillonn ee pour la gestion de l' energie d'un syst eme compos e d'une pile a combustible associ ee a un super condensateur - P aC-SC. L'objectif est de piloter l' echange energ etique entre les deux sources pour solliciter dans un premier temps le super condensateur et dans un deuxi eme temps la pile. Deux strat egies non lin eaires sont etudi ees. Une premi ere approche fait r ef erence a la m ethode de fa connement de l' energie et utilise une conception de type Lyapunov reposant sur la notion de passivit e. La deuxi eme exploite la structure a deux echelles de temps des deux sources de courant (pile et super condensateur) et propose une strat egie aux perturbations singuli eres. Les param etres choisis sont ceux d'un banc d'essai exp erimental en pr evision de l'implantation. Les r esultats sont compar es aux performances d'un sch ema continu dit id eal et a une implantation classique en termes de bloqueur d'ordre z ero

Développement d'outils de calcul et de logiciels pour la réalisation et l'implantation de stratégies de commande non linéaires échantillonnées

Cette thèse concerne la conception de commandes échantillonnées pour les systèmes non-linéaires en temps continu. Les systèmes échantillonnés sont des éléments inhérents aux systèmes contrôlés par ordinateur, les systèmes hybrides ou les systèmes embarqués. La conception et le calcul des contrôleurs numériques appropriés sont des taches difficiles car ils contiennent des composants à la fois continu et en temps discret. Ce travail s'inscrit dans une activité de recherche menée par S. Monaco et D. Normand-Cyrot dans le domaine des systèmes échantillonnés non-linéaires. L'idée de base est de concevoir des contrôleurs digitaux qui permettent de récupérer certaines propriétés en temps continu qui sont généralement dégradées par l'échantillonnage. Tel est le cas de l'émulation lorsque les contrôleurs en temps continu sont mis en ouvre en utilisant des bloqueurs d'ordre zéro. Cette thèse apporte des contributions dans trois directions complémentaires. La première concerne les développements théoriques: une nouvelle conception de type backstepping digital" est proposée pour les systèmes en forme strict-feedback". Cette méthode est comparée à d'autres stratégies proposées dans la littérature. La deuxième contribution est le développement d'un logiciel pour la synthèse des contrôleurs et d'une boîte à outils" pour simuler (en Matlab) les systèmes échantillonnés non-linéaires et leurs contrôleurs. Cette boîte à outils inclut plusieurs algorithmes pour la synthèse de contrôleurs échantillonnés tels que: commande de type multi-échelle, reproduction entrée-sortie/Lyapunov, backstepping digital, etc. La troisième contribution concerne plusieurs études de cas menées pour mettre en évidence les performances des contrôleurs échantillonnés, calculés avec l'aide du logiciel. Des résultats expérimentaux et des simulations sont décrits pour divers exemples réels dans les domaines électriques et mécaniques.This thesis is concerned with the sampled-data control of non-linear continuous-time systems. Sampled-data systems are present in all computer controlled, hybrid or embedded systems. The design and computation of suitable digital controllers represent unavoidable tasks since both continuous and discrete-time components interact. The basic framework of this work takes part of a wide research activity performed by S. Monaco and D. Normand-Cyrot regarding non-linear sampled-data systems. The underlying idea is to design digital controllers that recover certain continuous-time properties that are usually degraded through sampling as it is the case when continuous-time controllers are implemented by means of zero-order holder devices (emulated control). This thesis brings contributions into three different directions. The first one regards theoretical developments: a new digital backstepping-like strategy design for strict-feedback systems is proposed. This method is compared with other strategies proposed in the literature. The second contribution is the development of a control designer and of a simulation toolbox (in Matlab) for non-linear sampled-data systems. This toolbox includes different digital design strategies such as: multi-rate control, input-output/Lyapunov matching, digital backstepping design, etc. The third contribution concerns several case studies conducted to highlight the performances of the sampled-data controller designs, computed by the means of the software toolbox. Experimental and simulation results are described for various real examples especially in the area of electrical and mechanical processes.PARIS11-SCD-Bib. électronique (914719901) / SudocSudocFranceF

Développement d'outils de calcul et de logiciels pour la réalisation et l'implantation de stratégies de commande non linéaires échantillonnées

This thesis is concerned with the sampled-data control of non-linear continuous-time systems. Sampled-data systems are present in all computer controlled, hybrid or embedded systems. The design and computation of suitable digital controllers represent unavoidable tasks since both continuous and discrete-time components interact. The basic framework of this work takes part of a wide research activity performed by S. Monaco and D. Normand-Cyrot regarding non-linear sampled-data systems. The underlying idea is to design digital controllers that recover certain continuous-time properties that are usually degraded through sampling as it is the case when continuous-time controllers are implemented by means of zero-order holder devices (emulated control). This thesis brings contributions into three different directions. The first one regards theoretical developments: a new digital backstepping-like strategy design for strict-feedback systems is proposed. This method is compared with other strategies proposed in the literature. The second contribution is the development of a control designer and of a simulation toolbox (in Matlab) for non-linear sampled-data systems. This toolbox includes different digital design strategies such as: multi-rate control, input-output/Lyapunov matching, digital backstepping design, etc. The third contribution concerns several case studies conducted to highlight the performances of the sampled-data controller designs, computed by the means of the software toolbox. Experimental and simulation results are described for various real examples especially in the area of electrical and mechanical processes.Cette thèse concerne la conception de commandes échantillonnées pour les systèmes non-linéaires en temps continu. Les systèmes échantillonnés sont des éléments inhérents aux systèmes contrôlés par ordinateur, les systèmes hybrides ou les systèmes embarqués. La conception et le calcul des contrôleurs numériques appropriés sont des taches difficiles car ils contiennent des composants à la fois continu et en temps discret. Ce travail s'inscrit dans une activité de recherche menée par S. Monaco et D. Normand-Cyrot dans le domaine des systèmes échantillonnés non-linéaires. L'idée de base est de concevoir des contrôleurs digitaux qui permettent de récupérer certaines propriétés en temps continu qui sont généralement dégradées par l'échantillonnage. Tel est le cas de l'émulation lorsque les contrôleurs en temps continu sont mis en ouvre en utilisant des bloqueurs d'ordre zéro. Cette thèse apporte des contributions dans trois directions complémentaires. La première concerne les développements théoriques: une nouvelle conception de type ``backstepping digital" est proposée pour les systèmes en forme ``strict-feedback". Cette méthode est comparée à d'autres stratégies proposées dans la littérature. La deuxième contribution est le développement d'un logiciel pour la synthèse des contrôleurs et d'une ``boîte à outils" pour simuler (en Matlab) les systèmes échantillonnés non-linéaires et leurs contrôleurs. Cette boîte à outils inclut plusieurs algorithmes pour la synthèse de contrôleurs échantillonnés tels que: commande de type multi-échelle, reproduction entrée-sortie/Lyapunov, backstepping digital, etc. La troisième contribution concerne plusieurs études de cas menées pour mettre en évidence les performances des contrôleurs échantillonnés, calculés avec l'aide du logiciel. Des résultats expérimentaux et des simulations sont décrits pour divers exemples réels dans les domaines électriques et mécaniques.Teza de față se concentrează asupra studiului controlului eșantionat pentru sisteme neliniare în timp continuu. Sistemele eșantionate sunt componente indispensabile oricăror sisteme de control bazate pe dispozitive de calcul, sisteme hibride sau sisteme embedded. Sinteza și calculul comenzilor digitale, potrivite pentru astfel de sisteme, devine o sarcină dificilă o dată ce presupune existența de dinamici în timp discret respectiv în timp continuu.Cadrul de bază al acestei lucrări se regăsește în activitatea de cercetare realizată de Salvatore Monaco și Dorothée Normand-Cyrot în domeniul sistemelor eșantionate neliniare. Ideea care stă la bază este de a sintetiza comenzile digitale urmărind menținerea unor proprietăți impuse în timp continuu sub eșantionare. Aceste proprietăți sunt în general degradate sub eșantionare cum este cazul comenzilor emulate, când comenzile continue sunt implementate practic cu ajutorul extrapolatoarelor de ordin 0.Această teză își aduce aportul în 3 direcții complementare. Prima adresează dezvoltările teoretice unde o nouă sinteză de tip backstepping digital este propusă pentru sisteme în formă . Această metodă, dezvoltată în două versiuni, este comparată cu alte strategii similare propuse în literatură. A doua contribuție a tezei este legată de dezvoltarea unui toolbox software pentru sinteza de controllere digitale pentru sisteme nelinare sub eșantionare. Acest toolbox include strategii diferite pentru sinteza eșantionată precum: comandă de tip multi-rate, reproducere intrare-ieșire/Lyapunov, backstepping digital și alte soluții care sunt obiectul unor noi extensii. A treia contribuție este dată de studiile de caz dezvoltate pentru a scoate în evidență performanțele comenzilor eșantionate testate și calculate cu ajutorul aplicației software. Rezultatele experimentale și de simulare sunt obținute pentru diverse exemple reale din domeniul electric și mecanic

A Computer Aided Software for Nonlinear Digital Control

ISBN: 978-0-7695-4630-8International audienceThe aim of this paper is to provide a basic software tool involved in the design and the computation of nonlinear digital control schemes. The complete software SimNLSys will include different modules associated with each control scheme, aimed with respective objectives such as stabilization, damping, output matching or optimality, to quote a few. The software module presented here also encompasses the goal of computing solutions to nonlinear ODE's describing input-affine dynamics. The underlying methodologies propose challenging nonlinear sampled-data control strategies described in terms of Lie series expansions and computable through formal series calculus. The goal is to reach a friendly graphical user interface, to promote the practical efficiency of such strategies. For this, SymNLSys is built using the symbolic Matlab toolbox and the resulting mathematical control law expressions can be implemented directly on experimental plants. The paper describes the used differential geometric methods and discusses the implementation and limitations of the symbolic and numerical algorithms. Also some results obtained via this software are provided

Experimental digital control of a magnetic suspension

Print ISBN: 978-1-4577-1095-7International audienceIn this paper, the performances of a digital back-stepping stabilizing control strategy are tested on a real plant. This method applies to continuous-time systems in strict feedback forms which admit a stabilizing backstepping controller. Simulation and experimental results illustrate the benefits of the proposed digital strategy with respect to emulated solutions. References tracking is achieved with less control effort even when considering large sampling periods

Double scaling limit for the O(N)3^{3}-invariant tensor model

International audienceWe study the double scaling limit of the O(N)$^{3}$-invariant tensor model, initially introduced in Carrozza and Tanasa (2016 Lett. Math. Phys. 106 1531). This model has an interacting part containing two types of quartic invariants, the tetrahedric and the pillow one. For the two-point function, we rewrite the sum over Feynman graphs at each order in the 1/N expansion as a finite sum, where the summand is a function of the generating series of melons and chains (a.k.a. ladders). The graphs which are the most singular in the continuum limit are characterized at each order in the 1/N expansion. This leads to a double scaling limit which picks up contributions from all orders in the 1/N expansion. In contrast with matrix models, but similarly to previous double scaling limits in tensor models, this double scaling limit is summable. The tools used in order to prove our results are combinatorial, namely a thorough diagrammatic analysis of the Feynman graphs, as well as an analytic analysis of the singularities of the relevant generating series