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Modelling and control for intelligent industrial systems adaptive algorithms in robotics and industrial engineering par Rigatos, Gerasimos G., Publication : Berlin | Heidelberg Springer 2011 . 1 online resource (xxviii, 379 pages) , Incorporating intelligence in industrial systems can help to increase productivity, cut-off production costs, and to improve working conditions and safety in industrial environments. This need has resulted in the rapid development of modeling and control methods for industrial systems and robots, of fault detection and isolation methods for the prevention of critical situations in industrial work-cells and production plants, of optimization methods aiming at a more profitable functioning of industrial installations and robotic devices and of machine intelligence methods aiming at reducing huma. Date : 2011 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Wind power systems applications of computational intelligence par Wang, Lingfeng Publication : Berlin Springer 2010 . 437 p. , Renewable energy sources such as wind power have attracted much attention because they are environmentally friendly, do not produce carbon dioxide and other emitants, and can enhance a nation’s energy security. For example, recently more significant amounts of wind power are being integrated into conventional power grids. Therefore, it is necessary to address various important and challenging issues related to wind power systems, which are significantly different from the traditional generation systems. This book is a resource for engineers, practitioners, and decision-makers interested in studying or using the power of computational intelligence based algorithms in handling various important problems in wind power systems at the levels of power generation, transmission, and distribution. Researchers have been developing biologically-inspired algorithms in a wide variety of complex large-scale engineering domains. Distinguished from the traditional analytical methods, the new methods usually accomplish the task through their computationally efficient mechanisms. Computational intelligence methods such as evolutionary computation, neural networks, and fuzzy systems have attracted much attention in electric power systems. Meanwhile, modern electric power systems are becoming more and more complex in order to meet the growing electricity market. In particular, the grid complexity is continuously enhanced by the integration of intermittent wind power as well as the current restructuring efforts in electricity industry. Quite often, the traditional analytical methods become less efficient or even unable to handle this increased complexity. As a result, it is natural to apply computational intelligence as a powerful tool to deal with various important and pressing problems in the current wind power systems. This book presents the state-of-the-art development in the field of computational intelligence applied to wind power systems by reviewing the most up-to-date work and representative practical problems collecting contributions from leading experts in electrical engineering, system engineering, and other disciplines. 24 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1),

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Adaptive Dynamic Programming for Control Algorithms and Stability / par Zhang, Huaguang. Publication : . XVI, 424 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-4757-2,

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Economic Modeling Using Artificial Intelligence Methods par Marwala, Tshilidzi. Publication : . XVI, 261 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-5010-7,

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Cooperative Control of Multi-Agent Systems Optimal and Adaptive Design Approaches / par Lewis, Frank L. Publication : . XX, 307 p. 80 illus., 59 illus. in color. Disponibilité :  http://dx.doi.org/10.1007/978-1-4471-5574-4,

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Particle Filters for Random Set Models par Ristic, Branko. Publication : . XIV, 174 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4614-6316-0,

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Artificial Cognition Architectures par Crowder, James A. Publication : . XVI, 263 p. Disponibilité :  http://dx.doi.org/10.1007/978-1-4614-8072-3,

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Multilayer Neural Networks A Generalized Net Perspective / par Krawczak, Maciej. Publication : . XII, 182 p. Disponibilité :  http://dx.doi.org/10.1007/978-3-319-00248-4,

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Social Web Artifacts for Boosting Recommenders Theory and Implementation / par Ziegler, Cai-Nicolas. Publication : . XIX, 187 p. Disponibilité :  http://dx.doi.org/10.1007/978-3-319-00527-0,

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