Download or read book Techniques de commande robuste approche par multiplicateurs et approche stochastique written by Christelle Manceaux-Cumer and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimisation de la commande robuste par les m taheuristiques written by Philippe Feyel and published by ISTE Group. This book was released on 2017-05-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dans l’industrie, l’automaticien doit concevoir une loi de commande unique pour satisfaire un cahier des charges complexe sur un grand nombre de systèmes. Pour cela, en fonction de son expérience, il emploie un processus itératif chronophage basé sur le réglage et l’expérimentation (ou la simulation). Il s’agit de la phase d’essai-erreur. Dans cet ouvrage, une méthodologie de synthèse des correcteurs des asservissements plus efficace et moins coûteuse est développée. Les problèmes de commande robuste sont reformulés pour l’optimisation stochastique à travers la synthèse des correcteurs structurés à partir de problématiques de type H?, ?-synthèse ou encore synthèse LPV. L’intérêt de l’approche formulée réside dans sa flexibilité et la prise en compte de contraintes « exotiques » complexes. Une méthode originale de synthèse de correcteurs structurés et robustes vis-à-vis d’exigences de haut niveau de forme quelconque est proposée sur la base d’algorithmes évolutionnaires très performants et compétitifs. Cette méthodologie donne lieu à la mise en oeuvre d’un outil numérique de synthèse de correcteur. La validation de ces travaux a été réalisée sur des problèmes industriels tels que celui de la stabilisation inertielle de ligne de visées.
Download or read book Commande robuste multicrit re written by Marc Jungers and published by . This book was released on 2006 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cette thèse propose d'étudier la robustesse des commandes issues de la théorie des jeux adaptée aux systèmes multientrées, multiobjectifs. De façon générale les stratégies avec une structure d'information en boucle ouverte présentent des propriétés faibles de robustesse et ne peuvent être déterminées qu'a posteriori. Des exemples exhibent certaines limites. Les stratégies avec une structure d'information en boucle fermée sont beaucoup plus ardues à déterminer. Dans le cas d'une stratégie de Nash, un nouvel algorithme utilisant le manque de confiance est présenté pour résoudre les équations couplées algébriques de type Riccati. Pour une stratégie de Stackelberg avec une structure d'information en boucle fermée les conditions nécessaires et suffisantes sont déterminées et appliquées au problème de commande mixte H2 / Hinf. Enfin une extension à des systèmes comportant des incertitudes paramétrées mène à la résolution itérative d'une association non convexe de problèmes d'optimisation.
Download or read book Commande robuste des systemes non lin aires written by Iyad Balloul and published by . This book was released on 2000 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: CETTE THESE CONCERNE LA ROBUSTESSE DES SYSTEMES NON LINEAIRES. ELLE PROPOSE DEUX METHODES DE SYNTHESE DE LOI DE COMMANDE ROBUSTE ET UNE METHODE D'ANALYSE DE LA ROBUSTESSE. ELLE COMPORTE TROIS PARTIES : LA PREMIERE PRESENTE UNE NOUVELLE FORMULATION DU PROBLEME D'ATTENUATION DES PERTURBATIONS. LA LOI DE COMMANDE EST CARACTERISEE PAR LA SOLUTION D'UNE EQUATION DE TYPE HAMILTON-JACOBI-ISSACS AVEC CONTRAINTES FINALES D'INEGALITE. LA METHODOLOGIE PROPOSEE UTILISE LES TECHNIQUES D'HORIZON GLISSANT. ELLE ABOUTIT A UNE LOI DE STABILISATION ROBUSTE PAR RETOUR D'ETAT DYNAMIQUE DISCONTINU. AFIN DE VALIDER CETTE METHODE, UNE APPROCHE NUMERIQUE POUR RESOUDRE L'EQUATION DE HJI EST DEVELOPPEE CONFORMEMENT A LA THEORIE PROPOSEE. LES IDEES INTUITIVES AINSI QUE L'EFFICACITE DU CALCUL NUMERIQUE ASSOCIE SONT ILLUSTREES PAR UN EXEMPLE DE PENDULE INVERSE SIMPLE ET UN EXEMPLE DE SATELLITE EN MODE DEFAILLANT. LA DEUXIEME PARTIE PROPOSE UN ALGORITHME DE RESOLUTION DU PROBLEME D'OPTIMISATION MIN-MAX. L'ALGORITHME EST MIS EN BOUCLE FERMEE DANS UN SCHEMA A HORIZON GLISSANT. LES SYSTEMES CONSIDERES NE SONT PAS NECESSAIREMENT AFFINES. LES CONTRAINTES SUR LA COMMANDE PEUVENT ETRE PRISES EN COMPTE, MEME SI CES CONTRAINTES DEPENDENT DE L'ETAT. L'APPROCHE PEUT TRAITER LES INCERTITUDES PARAMETRIQUES ET LES PERTURBATIONS NON STATIONNAIRES. DANS LE DOMAINE DES PROCEDES BATCH LA METHODE ABOUTIT A DES RESULTATS TRES INTERESSANTS. QUANT AU DOMAINE DE LA MACHINE ASYNCHRONE, LES RESULTATS OBTENUS, BIEN QU'ILS SOIENT PRELIMINAIRES, MONTRENT L'APPORT INEDIT DE CETTE METHODE, SURTOUT EN CE QUI CONCERNE LES QUESTIONS PRIMORDIALES DE LA ROBUSTESSE ET DU REJET D'HARMONIQUES. LA TROISIEME PARTIE ILLUSTRE L'APPLICATION DE LA THEORIE DU GAP METRIQUE A L'ANALYSE DE LA ROBUSTESSE DES SYSTEMES DYNAMIQUES. LE CONTEXTE DE LA COMMANDE$H-ISINFTY$EST CONSIDERE COMME EXEMPLE. L'ETUDE N'ABOUTIT PAS A UNE NOUVELLE CONCLUSION CONCERNANT LA COMMANDE$H-ISINFTY$, ELLE MONTRE, NEANMOINS, LE NOUVEL OUTIL D'ANALYSE DE LA ROBUSTESSE.
Download or read book Algorithmes de la commande robuste et impl mentation logicielle written by Alex Murciano and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: On présente les différents algorithmes de la commande robuste et plus particulièrement ceux conduisant à la synthèse de la commande h-infini. Les problèmes de commande robuste sont mis sous la forme d'un problème dit standard qui consiste à augmenter le système nominal en prenant en considération les spécifications de robustesse exigées, puis à minimiser un critère de nature fréquentielle de type quadratique ou infini. Il existe deux approches différentes pour concevoir le contrôleur h-infini. L'approche de Nehari consiste à trouver la projection d'un système anti-stable sur l'espace des systèmes stables muni de la norme h-infini. L'approche de Glover dite également ultra-moderne consiste à résoudre deux équations de Riccati puis à mettre sous une forme descripteur le contrôleur. L'algorithme qui est présenté et implémenté dans la thèse constitue une amélioration de la méthode de Glover conduisant à des calculs plus robustes. Les algorithmes de la commande robuste ont été implémentés dans Basile logiciel de C.A.O en automatique. Une bibliothèque de macros Basile a été réalisée permettant de résoudre des problèmes standards h-infini et plus généralement, d'étudier la robustesse des systèmes linéaires. De manière à valider les algorithmes et de donner des exemples de problèmes h-infini, des applications académiques et industrielles (avion, satellite) sont traitées en détails.
Download or read book Analysis and Optimization of Systems written by Alain Bensoussan and published by . This book was released on 1986 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Livestock Policy Analysis written by International Livestock Research Institute and published by ILRI (aka ILCA and ILRAD). This book was released on 1995-01-01 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Policy concepts; Identification of policy issues; Production systems, supply and demand; Market, price and trade policies; Marketing and distribution systems; Budget and manpower planning; Land tenure police for the livestock sector; Policy analysis report writing and communication; Livestock production and marketing in alphabeta - a case study.
Download or read book Predicting Structured Data written by Neural Information Processing Systems Foundation and published by MIT Press. This book was released on 2007 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: State-of-the-art algorithms and theory in a novel domain of machine learning, prediction when the output has structure.
Download or read book Nondifferentiable Optimization written by Michel Louis Balinski and published by . This book was released on 1975 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Optimal Shape Design for Elliptic Systems written by O. Pironneau and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: The study of optimal shape design can be arrived at by asking the following question: "What is the best shape for a physical system?" This book is an applications-oriented study of such physical systems; in particular, those which can be described by an elliptic partial differential equation and where the shape is found by the minimum of a single criterion function. There are many problems of this type in high-technology industries. In fact, most numerical simulations of physical systems are solved not to gain better understanding of the phenomena but to obtain better control and design. Problems of this type are described in Chapter 2. Traditionally, optimal shape design has been treated as a branch of the calculus of variations and more specifically of optimal control. This subject interfaces with no less than four fields: optimization, optimal control, partial differential equations (PDEs), and their numerical solutions-this is the most difficult aspect of the subject. Each of these fields is reviewed briefly: PDEs (Chapter 1), optimization (Chapter 4), optimal control (Chapter 5), and numerical methods (Chapters 1 and 4).
Download or read book An Introduction to Computational Learning Theory written by Michael J. Kearns and published by MIT Press. This book was released on 1994-08-15 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Emphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics in computational learning theory for researchers and students in artificial intelligence, neural networks, theoretical computer science, and statistics. Computational learning theory is a new and rapidly expanding area of research that examines formal models of induction with the goals of discovering the common methods underlying efficient learning algorithms and identifying the computational impediments to learning. Each topic in the book has been chosen to elucidate a general principle, which is explored in a precise formal setting. Intuition has been emphasized in the presentation to make the material accessible to the nontheoretician while still providing precise arguments for the specialist. This balance is the result of new proofs of established theorems, and new presentations of the standard proofs. The topics covered include the motivation, definitions, and fundamental results, both positive and negative, for the widely studied L. G. Valiant model of Probably Approximately Correct Learning; Occam's Razor, which formalizes a relationship between learning and data compression; the Vapnik-Chervonenkis dimension; the equivalence of weak and strong learning; efficient learning in the presence of noise by the method of statistical queries; relationships between learning and cryptography, and the resulting computational limitations on efficient learning; reducibility between learning problems; and algorithms for learning finite automata from active experimentation.
Download or read book Optimization of Distributed Parameter Structures written by Edward J. Haug and published by Kluwer Academic Publishers. This book was released on 1981 with total page 796 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Download or read book On line Estimation and Adaptive Control of Bioreactors written by G. Bastin and published by Elsevier. This book was released on 2013-10-22 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with monitoring and control of biotechnological processes. Different methods are proposed which are based on the nonlinear structure of the process and do not require any a priori knowledge of the fermentation parameters. The theoretical stability and convergence properties of the proposed algorithms are analysed and their performances are illustrated by simulation results and, in many instances, by real life experiments. The concept of software sensors is introduced; these are algorithms based on the nonlinear model of the process and designed for on-line estimation of the biological variables and/or the fermentation parameters. In order to deal with process nonstationarities and parameter uncertainties, reference is made to adaptive estimation and control techniques.The book is the result of an intensive joint research effort by the authors during the last decade. It is intended as a graduate level text for students of bioengineering as well as a reference text for scientists and engineers involved in the design and optimization of bioprocesses.
Download or read book Reinforcement Learning second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Download or read book Optimal Shape Design written by B. Kawohl and published by Springer Science & Business Media. This book was released on 2000-11-16 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimal Shape Design is concerned with the optimization of some performance criterion dependent (besides the constraints of the problem) on the "shape" of some region. The main topics covered are: the optimal design of a geometrical object, for instance a wing, moving in a fluid; the optimal shape of a region (a harbor), given suitable constraints on the size of the entrance to the harbor, subject to incoming waves; the optimal design of some electrical device subject to constraints on the performance. The aim is to show that Optimal Shape Design, besides its interesting industrial applications, possesses nontrivial mathematical aspects. The main theoretical tools developed here are the homogenization method and domain variations in PDE. The style is mathematically rigorous, but specifically oriented towards applications, and it is intended for both pure and applied mathematicians. The reader is required to know classical PDE theory and basic functional analysis.
Download or read book Semigroups for Delay Equations written by András Bátkai and published by A K Peters, Ltd.. This book was released on 2005 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: In most physical, chemical, biological and economic phenomena it is quite natural to assume that the system not only depends on the present state but also on past occurrences. These circumstances are mathematically described by partial differential equations with delay. This book presents, in a systematic fashion, how delay equations can be studied in Lp-history spaces.Appendices offering supplementary information and a comprehensive index make this book an ideal introduction and research tool for mathematicians, chemists, biologists and economists.
