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Book Moteur    allumage command   avec EGR

Download or read book Moteur allumage command avec EGR written by Jimmy Lauber and published by . This book was released on 2003 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Ce mémoire a pour objet la modélisation et la commande d'un moteur à allumage commandé. Le premier chapitre propose un état de l'art sur la modélisation, l'estimation et la commande dans ces derniers. Le second chapitre s'intéresse à la commande de l'admission d'air. Deux commandes sont développées : une commande linéarisante et une commande à base de modèle flou de Takagi-Sugeno (TS). Le troisième chapitre présente des développements théoriques concernant deux classes de modèles TS : à retards variables sur l'état, et avec incertitudes. Des conditions de stabilisation sans et avec observateur d'état sont également données. Le quatrième chapitre traite alors de la commande et de l'observation par retour d'état basées sur des modèles TS et/ou par modes glissants, et de leur validation sur le modèle développé. Une régulation de richesse, une commande robuste du couple moteur moyen, un observateur à entrées inconnues du couple instantané, et des essais de commande globale sont présentés.

Book Recent Advances in Robust Control

Download or read book Recent Advances in Robust Control written by Andreas Müller and published by BoD – Books on Demand. This book was released on 2011-11-07 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust control has been a topic of active research in the last three decades culminating in H_2/H_\infty and \mu design methods followed by research on parametric robustness, initially motivated by Kharitonov's theorem, the extension to non-linear time delay systems, and other more recent methods. The two volumes of Recent Advances in Robust Control give a selective overview of recent theoretical developments and present selected application examples. The volumes comprise 39 contributions covering various theoretical aspects as well as different application areas. The first volume covers selected problems in the theory of robust control and its application to robotic and electromechanical systems. The second volume is dedicated to special topics in robust control and problem specific solutions. Recent Advances in Robust Control will be a valuable reference for those interested in the recent theoretical advances and for researchers working in the broad field of robotics and mechatronics.

Book Oil   Gas Science and Technology

Download or read book Oil Gas Science and Technology written by and published by . This book was released on 2007 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Trade marks Journal

Download or read book Trade marks Journal written by and published by . This book was released on 1999 with total page 1108 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book The Concise Oxford French Dictionary

Download or read book The Concise Oxford French Dictionary written by Abel Chevalley and published by . This book was released on 1934 with total page 1190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Motor Auto Repair Manual

Download or read book Motor Auto Repair Manual written by and published by . This book was released on 1979 with total page 1182 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Gazette Du Bureau Des Brevets

Download or read book Gazette Du Bureau Des Brevets written by Canada. Patent Office and published by . This book was released on 1989 with total page 1036 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes annual cumulative index of inventors and patentees.

Book Gasoline Engine with Direct Injection

Download or read book Gasoline Engine with Direct Injection written by Richard van Basshuysen and published by Vieweg+Teubner Verlag. This book was released on 2014-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Direct injection spark-ignition engines are becoming increasingly important, and their potential is still to be fully exploited. Increased power and torque coupled with further reductions in fuel consumption and emissions will be the clear trend for future developments. From today’s perspective, the key technologies driving this development will be new fuel injection and combustion processes. The book presents the latest developments, illustrates and evaluates engine concepts such as downsizing and describes the requirements that have to be met by materials and operating fluids. The outlook at the end of the book discusses whether future spark-ignition engines will achieve the same level as diesel engines.

Book Advances of Computational Intelligence in Industrial Systems

Download or read book Advances of Computational Intelligence in Industrial Systems written by Ying Liu and published by Springer. This book was released on 2010-10-28 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) has emerged as a rapidly growing field over the past decade. This volume reports the exploration of CI frontiers with an emphasis on a broad spectrum of real-world applications. Such a collection of chapters has presented the state-of-the-art of CI applications in industry and will be an essential resource for professionals and researchers who wish to learn and spot the opportunities in applying CI techniques to their particular problems.

Book Computational Intelligence in Automotive Applications

Download or read book Computational Intelligence in Automotive Applications written by Danil Prokhorov and published by Springer Science & Business Media. This book was released on 2008 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume is the first of its kind and provides a representative sample of contemporary computational intelligence (CI) activities in the area of automotive technology. All chapters contain overviews of the state-of-the-art.

Book New Developments in Formal Languages and Applications

Download or read book New Developments in Formal Languages and Applications written by Gemma Bel-Enguix and published by Springer. This book was released on 2008-06-24 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: The theory of formal languages is widely recognized as the backbone of theoretical computer science, originating from mathematics and generative linguistics, among others. As a foundational discipline, formal language theory concepts and techniques are present in a variety of theoretical and applied fields of contemporary research which are concerned with symbol manipulation: discrete mathematics, bioinformatics, natural language processing, pattern recognition, text retrieval, learning, cryptography, compression, etc. This volume presents the main results of some recent, quickly developing subfields of formal language theory in an easily accessible way and provides the reader with extensive bibliographical references to go deeper. Open problems are formulated too. The intended audience consists of undergraduates and graduates in computer science or mathematics. Graduates in other disciplines (linguistics, electrical engineering, molecular biology, logic) with some basic level of mathematical maturity may find the volume appealing and useful too. The book represents 'a gate to formal language theory and its applications' and a source of information in computation theory in general. This volume is complementary of the volumes in the Springer series Studies in Fuzziness and Soft Computing, number 148, and Studies in Computational Intelligence, 25.

Book Applications of Computational Intelligence in Biology

Download or read book Applications of Computational Intelligence in Biology written by Tomasz G. Smolinski and published by Springer. This book was released on 2010-10-28 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) has been a tremendously active area of - search for the past decade or so. There are many successful applications of CI in many sub elds of biology, including bioinformatics, computational - nomics, protein structure prediction, or neuronal systems modeling and an- ysis. However, there still are many open problems in biology that are in d- perate need of advanced and e cient computational methodologies to deal with tremendous amounts of data that those problems are plagued by. - fortunately, biology researchers are very often unaware of the abundance of computational techniques that they could put to use to help them analyze and understand the data underlying their research inquiries. On the other hand, computational intelligence practitioners are often unfamiliar with the part- ular problems that their new, state-of-the-art algorithms could be successfully applied for. The separation between the two worlds is partially caused by the use of di erent languages in these two spheres of science, but also by the relatively small number of publications devoted solely to the purpose of fac- itating the exchange of new computational algorithms and methodologies on one hand, and the needs of the biology realm on the other. The purpose of this book is to provide a medium for such an exchange of expertise and concerns. In order to achieve the goal, we have solicited cont- butions from both computational intelligence as well as biology researchers.

Book Quantum Inspired Intelligent Systems

Download or read book Quantum Inspired Intelligent Systems written by Leandro dos Santos Coelho and published by Springer Science & Business Media. This book was released on 2008-05-29 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research on applying principles of quantum computing to improve the engineering of intelligent systems has been launched since late 1990s. This emergent research field concentrates on studying on quantum computing that is characterized by certain principles of quantum mechanics such as standing waves, interference, quantum bits, coherence, superposition of states, and concept of interference, combined with computational intelligence or soft computing approaches, such as artificial neural networks, fuzzy systems, evolutionary computing, swarm intelligence and hybrid soft computing methods. This volume offers a wide spectrum of research work developed using soft computing combined with quantum computing systems.

Book Statistical Implicative Analysis

Download or read book Statistical Implicative Analysis written by Régis Gras and published by Springer Science & Business Media. This book was released on 2008-04-29 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical implicative analysis is a data analysis method created by Régis Gras almost thirty years ago which has a significant impact on a variety of areas ranging from pedagogical and psychological research to data mining. Statistical implicative analysis (SIA) provides a framework for evaluating the strength of implications; such implications are formed through common knowledge acquisition techniques in any learning process, human or artificial. This new concept has developed into a unifying methodology, and has generated a powerful convergence of thought between mathematicians, statisticians, psychologists, specialists in pedagogy and last, but not least, computer scientists specialized in data mining. This volume collects significant research contributions of several rather distinct disciplines that benefit from SIA. Contributions range from psychological and pedagogical research, bioinformatics, knowledge management, and data mining.

Book Discrete Time High Order Neural Control

Download or read book Discrete Time High Order Neural Control written by Edgar N. Sanchez and published by Springer. This book was released on 2008-06-24 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks,controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o?ers a better suited tool to model and control of nonlinear systems. There exist di?erent training algorithms for neural networks, which, h- ever, normally encounter some technical problems such as local minima, slow learning, and high sensitivity to initial conditions, among others. As a viable alternative, new training algorithms, for example, those based on Kalman ?ltering, have been proposed. There already exists publications about trajectory tracking using neural networks; however, most of those works were developed for continuous-time systems. On the other hand, while extensive literature is available for linear discrete-timecontrolsystem,nonlineardiscrete-timecontroldesigntechniques have not been discussed to the same degree. Besides, discrete-time neural networks are better ?tted for real-time implementations.

Book Metaheuristics for Scheduling in Industrial and Manufacturing Applications

Download or read book Metaheuristics for Scheduling in Industrial and Manufacturing Applications written by Fatos Xhafa and published by Springer Science & Business Media. This book was released on 2008-06-21 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the past decades scheduling has been among the most studied op- mization problemsanditisstillanactiveareaofresearch!Schedulingappears in many areas of science, engineering and industry and takes di?erent forms depending on the restrictions and optimization criteria of the operating en- ronments [8]. For instance, in optimization and computer science, scheduling has been de?ned as “the allocation of tasks to resources over time in order to achieve optimality in one or more objective criteria in an e?cient way” and in production as “production schedule, i. e. , the planning of the production or the sequence of operations according to which jobs pass through machines and is optimal with respect to certain optimization criteria. ” Although there is a standardized form of stating any scheduling problem, namely “e?cient allocation ofn jobs onm machines –which can process no more than one activity at a time– with the objective to optimize some - jective function of the job completion times”, scheduling is in fact a family of problems. Indeed, several parameters intervene in the problem de?nition: (a) job characteristics (preemptive or not, precedence constraints, release dates, etc. ); (b) resource environment (single vs. parallel machines, un- lated machines, identical or uniform machines, etc. ); (c) optimization criteria (minimize total tardiness, the number of late jobs, makespan, ?owtime, etc. ; maximize resource utilization, etc. ); and, (d) scheduling environment (static vs. dynamic,intheformerthenumberofjobstobeconsideredandtheirready times are available while in the later the number of jobs and their charact- istics change over time).