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This book presents the editor's recently proposed mathematical models for flux prediction in membrane filtration. It also provides typical mathematical models used in the development of membrane fouling control and explains the step-by-step derivation of these models. The book then highlights how these mathematical models provide insights into the mechanisms of membrane fouling and cleaning to allow for a better understanding of the complete membrane filtration process. Given its scope, this book appeals to a broad readership, particularly professionals at universities as well as engineers engaged in membrane separation in an industrial process.
Solid state physics --- Surface chemistry --- Environmental protection. Environmental technology --- Chemical technology --- milieuchemie --- fysica --- bindingen (chemie) --- chemische technologie --- fysicochemie --- Membrane filters --- Mathematical models.
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Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.
Mobile robots. --- Robots --- Sparse matrices. --- Robotics. --- Mappings (Mathematics) --- Maps (Mathematics) --- Functions --- Functions, Continuous --- Topology --- Transformations (Mathematics) --- Automation --- Machine theory --- Spare matrix techniques --- Matrices --- Robot control --- Robotics --- Control systems.
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