This book shows how, through certain geometric transformations, some of the standard joints used in parallel robots can be replaced with lockable or non-holonomic joints. These substitutions allow for reducing the number of legs, and hence the number of actuators needed to control the robot, without losing the robot's ability to bring its mobile platform to the desired configuration. The kinematics of the most representative examples of these new designs are analyzed and their theoretical features verified through simulations and practical implementations.
At the end of 2018, with the invective, common sense, intellectual and social authoritarian regression under way increasingly identified with the five-year period of Sarkozy, Hollande and Macron, the real progressives, that is to say, trade unionists and revolutionaries, as enemies to be defeated, -at least in regard to morality and expression-, it is urgent to face this attempt to ideologically crush the portraits of those who have shown us the way to make our society other than a financial market or a feudal state. Mademoiselle Louise Michel is one of these extraordinary characters. I call her Mademoiselle - as her publisher did in 1886 - out of respect and to keep in mind as well the common observation that Louise Michel was not a revolutionary, certainly but also a sensitive and engaging person who said of herself: "I do not deserve it, since I follow my inclinations like all beings and all things do, but I am not a monster either. We are all the product of our times, that's all. Each of us has his qualities and defects, it is the common law, but no matter what we are, if our work is great and covers us with its light; it's not about us in what we start, it's about what will leave for humanity when we are gone. " ...
Pattern recognition and computer vision and their applications have experienced enormous progress in research and development over the last two decades. This comprehensive handbook, with chapters by leading experts in their fields, documents both the basics and new and advanced results.The book gives the most total treatment of basic methods in pattern recognition including statistical, neurocomputing, syntactic/structural/grammatical approaches, feature selection and cluster analysis; and an extensive presentation of basic methods in computer vision including texture analysis and models, color, geometrical tools, image sequence analysis, etc. Major and unique applications are also covered, such as food handling using computer vision, non-destructive evaluation of materials, applications in economics and business, medical image recognition and understanding, etc. Broader system aspects are also examined, including optical pattern recognition and architectures for computer vision.Researchers, students and users of pattern recognition and computer vision will find the book an essential reference tool. The volume is also an invaluable collection of basic techniques and principles, which would otherwise be hard to assemble, in one convenient volume.
Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical systems. In order to achieve learning under uncertainty, data-driven methods for identifying system models in real-time are also developed. The book illustrates the advantages gained from the use of a model and the use of previous experience in the form of recorded data through simulations and experiments. The book’s focus on deterministic systems allows for an in-depth Lyapunov-based analysis of the performance of the methods described during the learning phase and during execution. To yield an approximate optimal controller, the authors focus on theories and methods that fall under the umbrella of actor–critic methods for machine learning. They concentrate on establishing stability during the learning phase and the execution phase, and adaptive model-based and data-driven reinforcement learning, to assist readers in the learning process, which typically relies on instantaneous input-output measurements. This monograph provides academic researchers with backgrounds in diverse disciplines from aerospace engineering to computer science, who are interested in optimal reinforcement learning functional analysis and functional approximation theory, with a good introduction to the use of model-based methods. The thorough treatment of an advanced treatment to control will also interest practitioners working in the chemical-process and power-supply industry.
Organisé par l'Institut français de recherche pour l'exploitation de la mer (Ifremer), en collaboration avec le laboratoire d'analyses de prélèvements hydrobiologiques (Laphy) de Biarritz, le VIIe colloque international d'Océanographie du golfe de Gascogne a réuni à Biarritz (France), du 4 au 6 avril 2000, environ 200 participants venus de différents pays d'Europe. Ces actes rassemblent une soixantaine de contributions présentées lors de cette manifestation. Une première partie de l'ouvrage aborde le milieu marin proprement dit sous ces différents aspects : océanographie physique, benthologie, planctonologie et halieutique. La deuxième partie consacrée aux milieux lagunaires et estuariens traite les thématiques suivantes : hydrogéologie, action des polluants, et biologie.
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