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Book Algorithmes de la commande robuste et impl  mentation logicielle

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.

Book Algorithmes de la commande robuste et implementation logicielle

Download or read book Algorithmes de la commande robuste et implementation logicielle written by Alex Murciano and published by . This book was released on 1991 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Optimisation de la commande robuste par les m  taheuristiques

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.

Book Approche LMI de la commande robuste multicrit  re

Download or read book Approche LMI de la commande robuste multicrit re written by Stéphane Dussy and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: En automatique, l'asservissement d'un système peut se définir comme la recherche d'une loi de commande devant satisfaire un ensemble de spécifications parfois concurrentes. Ces dernières incluent entre autres des critères de stabilité, de temps de réponse, de rejet de perturbations, de passivité, de bornes sur la commande, de saturations de certaines sorties ou de robustesse par rapport à des incertitudes paramétriques ou de modélisation ... Remplir un tel cahier des charges pour un système linéaire est déjà un problème difficile en soi. La motivation principale de la thèse est de proposer une méthodologie de synthèse de cor recteur qui garantisse simultanément ces spécifications pour une large classe de systèmes non-linéaires incertains. Les problèmes numériques, dits de précision finie, rencontrés lors de l'implémentation du correcteur dans un système réel sont aussi abordés. Les techniques proposées de recherche de loi de commande robuste reposent sur la traduction des contraintes sous la forme de problèmes d'optimisation convexe. Une formulation des conditions dite par Inégalités Matricielles Linéaires (LMI) permet alors, grâce à de récentes avancées dans le domaine de l'optimisation par points intérieurs, de synthétiser numérique ment une loi de commande. Cette approche représente un bon compromis entre calculabilité et complexité des conditions de synthèse. Des algorithmes sont alors définis, adaptés à la commande de différents types de systèmes, et des exemples d'application sont traités. Un logiciel, sous la forme d'une boîte à outils Matlab, a été développé pour permettre à un ingénieur automaticien d'utiliser les techniques présentées dans la thèse de manière transparente et sans connaissance pré-requise en optimisation convexe.

Book Commande robuste des syst  mes sous contraintes structurelles

Download or read book Commande robuste des syst mes sous contraintes structurelles written by Arao Fischman and published by . This book was released on 1998 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: CE MEMOIRE TRAITE LE PROBLEME GENERAL DE LA SYNTHESE DE LOIS DE COMMANDE ROBUSTE POUR LES SYSTEMES SOUS CONTRAINTES STRUCTURELLES. LA CONTRIBUTION PRINCIPALE DE CE TRAVAIL CONSISTE EN LA SYNTHESE DE DEUX ALGORITHMES DE COMMANDE QUI TIENNENT EXPLICITEMENT COMPTE DES CONTRAINTES DE STRUCTURE SUR LE GAIN DE RETOUR D'ETAT OU DE SORTIE. LE PREMIER ALGORITHME CONSIDERE LE PROBLEME DE LA COMMANDE MULTI-OBJECTIF ET LE DEUXIEME TRAITE CELUI DE LA COMMANDE A COUT H#2 GARANTI. CES DEUX ALGORITHMES SONT BASES SUR LA RESOLUTION ITERATIVE D'UN PROBLEME D'OPTIMISATION CONVEXE DONT LES CONTRAINTES SONT EXPRIMEES SOUS LA FORME D'INEGALITES MATRICIELLES LINEAIRES (LMI). NOUS AVONS AUSSI MIS EN EVIDENCE L'APPLICABILITE DE L'UN DE CES ALGORITHMES AUX SYSTEMES DE PUISSANCE EN PROPOSANT UNE LOI DE COMMANDE DECENTRALISEE A COUT H#2 GARANTI POUR UN SYSTEME DE GENERATION ET DE DISTRIBUTION D'ENERGIE ELECTRIQUE.

Book Neural Networks

    Book Details:
  • Author : Gérard Dreyfus
  • Publisher : Springer Science & Business Media
  • Release : 2005-11-25
  • ISBN : 3540288473
  • Pages : 509 pages

Download or read book Neural Networks written by Gérard Dreyfus and published by Springer Science & Business Media. This book was released on 2005-11-25 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the available data, in order to build models, make predictions, mine data, recognize shapes or signals, etc. Ranging from theoretical foundations to real-life applications, this book is intended to provide engineers and researchers with clear methodologies for taking advantage of neural networks in industrial, financial or banking applications, many instances of which are presented in the book. For the benefit of readers wishing to gain deeper knowledge of the topics, the book features appendices that provide theoretical details for greater insight, and algorithmic details for efficient programming and implementation. The chapters have been written by experts and edited to present a coherent and comprehensive, yet not redundant, practically oriented introduction.

Book Journal A

Download or read book Journal A written by and published by . This book was released on 1991 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Solar Photovoltaic System Applications

Download or read book Solar Photovoltaic System Applications written by Parimita Mohanty and published by Springer. This book was released on 2015-10-30 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presenting a complete guide for the planning, design and implementation of solar PV systems for off-grid applications, this book features analysis based on the authors’ own laboratory testing as well as their in the field experiences. Incorporating the latest developments in smart-digital and control technologies into the design criteria of the PV system, this book will also focus on how to integrate newer smart design approaches and techniques for improving the efficiency, reliability and flexibility of the entire system. The design and implementation of India’s first-of its-kind Smart Mini-Grid system (SMG) at TERI premises, which involves the integration of multiple renewable energy resources (including solar PV) through smart controllers for managing the load intelligently and effectively is presented as a key case study. Maximizing reader insights into the performance of different components of solar PV systems under different operating conditions, the book will be of interest to graduate students, researchers, PV designers, planners, and practitioners working in the area of solar PV design, implementation and assessment.

Book ICREEC 2019

Download or read book ICREEC 2019 written by Ahmed Belasri and published by Springer Nature. This book was released on 2020-06-10 with total page 659 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights peer reviewed articles from the 1st International Conference on Renewable Energy and Energy Conversion, ICREEC 2019, held at Oran in Algeria. It presents recent advances, brings together researchers and professionals in the area and presents a platform to exchange ideas and establish opportunities for a sustainable future. Topics covered in this proceedings, but not limited to, are photovoltaic systems, bioenergy, laser and plasma technology, fluid and flow for energy, software for energy and impact of energy on the environment.

Book Demand Driven Material Requirements Planning  DDMRP

Download or read book Demand Driven Material Requirements Planning DDMRP written by Carol Ptak and published by Industrial Press. This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "An intuitive proven planning and execution method for today's complex and volatile supply chains"--Cover.

Book Techniques Pour Les Op  rations Air sol Dans Les Situations de Conflits Localis  s Et de R  actions Rapides

Download or read book Techniques Pour Les Op rations Air sol Dans Les Situations de Conflits Localis s Et de R actions Rapides written by North Atlantic Treaty Organization. Advisory Group for Aerospace Research and Development. Mission Systems Panel. Symposium and published by . This book was released on 1996 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Statistical Inference for Ergodic Diffusion Processes

Download or read book Statistical Inference for Ergodic Diffusion Processes written by Yury A. Kutoyants and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book in inference for stochastic processes from a statistical, rather than a probabilistic, perspective. It provides a systematic exposition of theoretical results from over ten years of mathematical literature and presents, for the first time in book form, many new techniques and approaches.

Book Semiparametric Theory and Missing Data

Download or read book Semiparametric Theory and Missing Data written by Anastasios Tsiatis and published by Springer Science & Business Media. This book was released on 2007-01-15 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book summarizes current knowledge regarding the theory of estimation for semiparametric models with missing data, in an organized and comprehensive manner. It starts with the study of semiparametric methods when there are no missing data. The description of the theory of estimation for semiparametric models is both rigorous and intuitive, relying on geometric ideas to reinforce the intuition and understanding of the theory. These methods are then applied to problems with missing, censored, and coarsened data with the goal of deriving estimators that are as robust and efficient as possible.

Book Predicting Structured Data

    Book Details:
  • Author : Neural Information Processing Systems Foundation
  • Publisher : MIT Press
  • Release : 2007
  • ISBN : 0262026171
  • Pages : 361 pages

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.

Book An Introduction to Computational Learning Theory

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.

Book Strap down Inertial Systems

Download or read book Strap down Inertial Systems written by and published by . This book was released on 1978 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Nature of Statistical Learning Theory

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.