State Estimation for Robotics: Second Edition, Timothy D. Barfoot

Автор: Barfoot Timothy D
Название: State Estimation for Robotics
ISBN: 1107159393 ISBN-13(EAN): 9781107159396
Издательство: Cambridge Academ
Цена: 95030 T
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Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.

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: Corke, Peter
Название: Robotics, Vision and Control, 2 ed.
ISBN: 3319544128 ISBN-13(EAN): 9783319544120
Издательство: Springer
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Цена: 0.00 T
Наличие на складе: Невозможна поставка.
Описание: Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together.

Автор: Donald E. Catlin
Название: Estimation, Control, and the Discrete Kalman Filter
ISBN: 1461288649 ISBN-13(EAN): 9781461288640
Издательство: Springer
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Цена: 113190.00 T
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Описание: In addition, Kalman`s work led to a multitude of books and papers on minimum vari- ance estimation in dynamical systems, including one by Kalman and Bucy on continuous time systems [15].

Автор: Armagan Elibol; Nuno Gracias; Rafael Garcia
Название: Efficient Topology Estimation for Large Scale Optical Mapping
ISBN: 3642432034 ISBN-13(EAN): 9783642432033
Издательство: Springer
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Цена: 104480.00 T
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Описание: This book addresses the most challenging steps in creating large-area image mosaics: global alignment and fast estimation of topology. Thus it advances the state of the art in underwater surveys using low-cost vehicles equipped with very limited sensor arrays.

Автор: Karl Iagnemma; Steven Dubowsky
Название: Mobile Robots in Rough Terrain
ISBN: 3642060269 ISBN-13(EAN): 9783642060267
Издательство: Springer
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Цена: 113180.00 T
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Описание: This monograph discusses issues related to estimation, control, and motion planning for mobile robots operating in rough terrain, with particular attention to planetary exploration rovers. Specific addressed topics are: wheel terrain interaction modeling, including terrain parameter estimation and wheel terrain contact angle estimation;

Автор: Heidar A. Talebi; Farzaneh Abdollahi; Rajni V. Pat
Название: Neural Network-Based State Estimation of Nonlinear Systems
ISBN: 1441914374 ISBN-13(EAN): 9781441914378
Издательство: Springer
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Цена: 104480.00 T
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Описание: This text offers neural network schemes for state estimation, system identification and fault detection. It covers mathematical proof of stability, experimental evaluation, and robustness against unmolded dynamics, external disturbances and measurement noises.

Автор: Dawei Shi; Ling Shi; Tongwen Chen
Название: Event-Based State Estimation
ISBN: 3319266047 ISBN-13(EAN): 9783319266046
Издательство: Springer
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Цена: 121890.00 T
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Описание: This book explores event-based estimation problems.

Автор: Dawei Shi; Ling Shi; Tongwen Chen
Название: Event-Based State Estimation
ISBN: 3319369113 ISBN-13(EAN): 9783319369112
Издательство: Springer
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Цена: 95770.00 T
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Описание: This book explores event-based estimation problems.

Автор: Wang Ye
Название: Advances in State Estimation, Diagnosis and Control of Complex Systems
ISBN: 3030524396 ISBN-13(EAN): 9783030524395
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems.

Автор: Wu Chengwei, Yao Weiran, Sun Guanghui
Название: Security of Cyber-Physical Systems: State Estimation and Control
ISBN: 3030883493 ISBN-13(EAN): 9783030883492
Издательство: Springer
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Цена: 139750.00 T
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Описание: Targeting the challenging security problems of cyber-physical systems under malicious attacks, this book presents some recent novel secure state estimation and control algorithms, in which moving target defense scheme, zero-sum game-theoretical approach, reinforcement learning, neural networks, and intelligent control are adopted.

Автор: Wang Ye
Название: Advances in State Estimation, Diagnosis and Control of Complex Systems
ISBN: 3030524426 ISBN-13(EAN): 9783030524425
Издательство: Springer
Цена: 139750.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents theoretical and practical findings on the state estimation, diagnosis and control of complex systems, especially in the mathematical form of descriptor systems.

Автор: Wu
Название: Security of Cyber-Physical Systems: State Estimation and Control
ISBN: 3030883523 ISBN-13(EAN): 9783030883522
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book analyzes the secure problems of cyber-physical systems from both the adversary and defender sides. Targeting the challenging security problems of cyber-physical systems under malicious attacks, this book presents some recent novel secure state estimation and control algorithms, in which moving target defense scheme, zero-sum game-theoretical approach, reinforcement learning, neural networks, and intelligent control are adopted. Readers will find not only the valuable secure state estimation and control schemes combined with the approaches aforementioned, but also some vital conclusions for securing cyber-physical systems, for example, the critical value of allowed attack probability, the maximum number of sensors to be attacked, etc. The book also provides practical applications, example of which are unmanned aerial vehicles, interruptible power system, and robot arm to validate the proposed secure algorithms. Given its scope, it offers a valuable resource for undergraduate and graduate students, academics, scientists, and engineers who are working in this field.