Probabilistic and Randomized Methods for Design under Uncertainty, Giuseppe Calafiore; Fabrizio Dabbene

Автор: Thrun, Sebastian
Название: Probabilistic robotics
ISBN: 0262201623 ISBN-13(EAN): 9780262201629
Издательство: MIT Press
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Цена: 95930.00 T
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Описание:

An introduction to the techniques and algorithms of the newest field in robotics.

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.

Автор: Manfred Dietrich; Joachim Haase
Название: Process Variations and Probabilistic Integrated Circuit Design
ISBN: 1489988602 ISBN-13(EAN): 9781489988607
Издательство: Springer
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Цена: 104480.00 T
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Описание: Based on qualitative and quantitative insight, this volume presents the technological, physical, and mathematical fundamentals for a design paradigm shift for microelectronic circuits. The text explores design flow variations to establish different variants while optimizing the overall design.

Автор: Pierre Bessi?re; Christian Laugier; Roland Siegwar
Название: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
ISBN: 3642097847 ISBN-13(EAN): 9783642097843
Издательство: Springer
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Цена: 174130.00 T
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Описание: The chapters contain a sizable segment of cognitive systems research in Europe. Contributions come from leading academic institutions within the European projects Bayesian Inspired Brain and Artifact (BIBA) and Bayesian Approach to Cognitive Systems (BACS).

Автор: J?rgen Sturm
Название: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
ISBN: 3642437141 ISBN-13(EAN): 9783642437144
Издательство: Springer
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Цена: 113180.00 T
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Описание: This book presents novel learning techniques that enable mobile platforms with one or more robotic manipulators to autonomously adapt to new or changing situations.

Автор: A.V. Gheorghe
Название: Decision Processes in Dynamic Probabilistic Systems
ISBN: 9401067082 ISBN-13(EAN): 9789401067089
Издательство: Springer
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Цена: 102480.00 T
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Название: Heavy-Tail Phenomena: Probabilistic And Statistical Modeling
ISBN: 1441920242 ISBN-13(EAN): 9781441920249
Издательство: Springer
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Цена: 55890.00 T
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Описание: This text gives an interesting and useful blend of the mathematical, probabilistic and statistical tools used in heavy-tail analysis. It is uniquely devoted to heavy-tails and emphasizes both probability modeling and statistical methods for fitting models.

Автор: Annibal Parracho Sant`Anna
Название: Probabilistic Composition of Preferences, Theory and Applications
ISBN: 3319112767 ISBN-13(EAN): 9783319112763
Издательство: Springer
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Цена: 104480.00 T
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Описание:

Multiple Criteria Decision Analysis.- Approaches to Criteria Combination.- The Probabilistic Approach to Preferences Measurement.- Computation of Probabilities of Preference.- Composition by Joint Probabilities.- Composition by DEA Distance to the Frontier.- Dynamic Probabilistic Indices.- Probabilities in the Problem of Classification.- Capacities Determination.- Rough Sets Modeling.- Application to FMEA Priority Assessments.- Appendix.

Название: Probabilistic prognostics and health management of energy systems.
ISBN: 331955851X ISBN-13(EAN): 9783319558516
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty.

Автор: J?rgen Sturm
Название: Approaches to Probabilistic Model Learning for Mobile Manipulation Robots
ISBN: 3642371590 ISBN-13(EAN): 9783642371592
Издательство: Springer
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Цена: 139310.00 T
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Описание: This book presents novel learning techniques that enable mobile platforms with one or more robotic manipulators to autonomously adapt to new or changing situations.

Автор: Hiromitsu Kumamoto
Название: Satisfying Safety Goals by Probabilistic Risk Assessment
ISBN: 1849966419 ISBN-13(EAN): 9781849966412
Издательство: Springer
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Цена: 130590.00 T
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Описание: This book is a methodological approach to the goal-based safety design procedure that will soon be an international requirement. This is the first single volume book to describe how to satisfy safety goals by modern reliability engineering. Its focus is on the quantitative aspects of the international standards using a methodological approach.

Автор: Carlos Guedes Soares
Название: Probabilistic Methods for Structural Design
ISBN: 9401063664 ISBN-13(EAN): 9789401063661
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book contains contributions from various authors on different important topics related with probabilistic methods used for the design of structures. Initially several of the papers were prepared for advanced courses on structural reliability or on probabilistic methods for structural design.