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Applications and Optimizations of Kalman Filter and Their Variants

2024-07-17 Mathematics
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Release : 2024-07-17
Genre : Mathematics
Kind : eBook
Book Rating : 668/5 ( reviews)

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Book Synopsis Applications and Optimizations of Kalman Filter and Their Variants by : Asadullah Khalid

Download or read book Applications and Optimizations of Kalman Filter and Their Variants written by Asadullah Khalid. This book was released on 2024-07-17. Available in PDF, EPUB and Kindle. Book excerpt: Applications and Optimizations of Kalman Filter and Their Variants is a comprehensive exploration of Kalman filters’ diverse applications and refined optimizations across various domains. It meticulously examines their role in microgrid management, offering adaptive estimation techniques for effective control strategies. The book then delves into distribution system state estimation, showcasing an innovative stochastic programming model using extended Kalman filters for reliable monitoring and control. In the realm of financial modeling, readers gain insights into how Kalman filters enhance trading strategies like pairs trading and partial co-integration, bridging finance and analytics. Moreover, the book discusses Kalman filter optimization, addressing challenges in object tracking and error reduction with techniques like dynamic stochastic approximation algorithms and M-robust estimates. With practical examples and interdisciplinary approaches, this book serves as a valuable resource for researchers, practitioners, and students looking to harness Kalman filter techniques for enhanced efficiency and accuracy across diverse fields.

Kalman Filter Recent Advances and Applications

2016-04-01
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Release : 2016-04-01
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Kind : eBook
Book Rating : 675/5 ( reviews)

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Book Synopsis Kalman Filter Recent Advances and Applications by : Beata Akselsen

Download or read book Kalman Filter Recent Advances and Applications written by Beata Akselsen. This book was released on 2016-04-01. Available in PDF, EPUB and Kindle. Book excerpt: The Kalman filter is an algorithm that estimates the state of a system from measured data. It was predominantly developed by the Hungarian engineer Rudolf Kalman, for whom the filter is named. The filters algorithm is a two-step process: the first step predicts the state of the system, and the second step uses noisy measurements to refine the estimate of system state. There are now several variations of the original Kalman filter. The Kalman filter has plentiful applications in technology. A common application is for guidance, navigation and control of vehicles, particularly aircraft and spacecraft. Furthermore, the Kalman filter is a widely applied concept in time series analysis used in fields such as signal processing and econometrics. Kalman filters also are one of the main topics in the field of robotic motion planning and control, and they are sometimes included in trajectory optimization. Kalman filters are used for object tracking to predict an objects future location, to account for noise in an objects detected location, and to help associate multiple objects with their corresponding tracks. The output of the Kalman filter is denoted by the red circles and the object detection is denoted in black. Notice when the ball is occluded and there are no detections; the filter is used to predict its location. The purpose of the book entitled Kalman Filter Recent Advances and Applications is to provide an overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. This book corresponding to modern advances in Kalman filtering theory, solicitations in medical and biological sciences, tracking and positioning systems, electrical engineering and, finally, industrial processes and communication networks.

Introduction and Implementations of the Kalman Filter

2019-05-22 Computers
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Release : 2019-05-22
Genre : Computers
Kind : eBook
Book Rating : 362/5 ( reviews)

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Book Synopsis Introduction and Implementations of the Kalman Filter by : Felix Govaers

Download or read book Introduction and Implementations of the Kalman Filter written by Felix Govaers. This book was released on 2019-05-22. Available in PDF, EPUB and Kindle. Book excerpt: Sensor data fusion is the process of combining error-prone, heterogeneous, incomplete, and ambiguous data to gather a higher level of situational awareness. In principle, all living creatures are fusing information from their complementary senses to coordinate their actions and to detect and localize danger. In sensor data fusion, this process is transferred to electronic systems, which rely on some "awareness" of what is happening in certain areas of interest. By means of probability theory and statistics, it is possible to model the relationship between the state space and the sensor data. The number of ingredients of the resulting Kalman filter is limited, but its applications are not.

Kalman Filters

2018-02-21 Mathematics
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Release : 2018-02-21
Genre : Mathematics
Kind : eBook
Book Rating : 278/5 ( reviews)

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Book Synopsis Kalman Filters by : Ginalber Luiz Serra

Download or read book Kalman Filters written by Ginalber Luiz Serra. This book was released on 2018-02-21. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent issues on theory and practice of Kalman filters, with a comprehensive treatment of a selected number of concepts, techniques, and advanced applications. From an interdisciplinary point of view, the contents from each chapter bring together an international scientific community to discuss the state of the art on Kalman filter-based methodologies for adaptive/distributed filtering, optimal estimation, dynamic prediction, nonstationarity, robot navigation, global navigation satellite systems, moving object tracking, optical communication systems, and active power filters, among others. The theoretical and methodological foundations combined with extensive experimental explanation make this book a reference suitable for students, practicing engineers, and researchers in sciences and engineering.

Kalman Filters

2023-06-27 Computers
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Release : 2023-06-27
Genre : Computers
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Book Synopsis Kalman Filters by : Fouad Sabry

Download or read book Kalman Filters written by Fouad Sabry. This book was released on 2023-06-27. Available in PDF, EPUB and Kindle. Book excerpt: What Is Kalman Filters An algorithm that uses a series of measurements observed over time, including statistical noise and other inaccuracies, Kalman filtering is also known as linear quadratic estimation (LQE), and it produces estimates of unknown variables that tend to be more accurate than those that are based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. This is accomplished by estimating a joint probability distribution over the variables for each timeframe. Rudolf E. Kálmán, who was a significant contributor to the development of the theory behind the filter, is honored with the naming of the device. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Kalman filter Chapter 2: Weighted arithmetic mean Chapter 3: Multivariate random variable Chapter 4: Covariance Chapter 5: Covariance matrix Chapter 6: Expectation-maximization algorithm Chapter 7: Minimum mean square error Chapter 8: Recursive least squares filter Chapter 9: Linear-quadratic-Gaussian control Chapter 10: Extended Kalman filter (II) Answering the public top questions about kalman filters. (III) Real world examples for the usage of kalman filters in many fields. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of kalman filters. What is Artificial Intelligence Series The artificial intelligence book series provides comprehensive coverage in over 200 topics. Each ebook covers a specific Artificial Intelligence topic in depth, written by experts in the field. The series aims to give readers a thorough understanding of the concepts, techniques, history and applications of artificial intelligence. Topics covered include machine learning, deep learning, neural networks, computer vision, natural language processing, robotics, ethics and more. The ebooks are written for professionals, students, and anyone interested in learning about the latest developments in this rapidly advancing field. The artificial intelligence book series provides an in-depth yet accessible exploration, from the fundamental concepts to the state-of-the-art research. With over 200 volumes, readers gain a thorough grounding in all aspects of Artificial Intelligence. The ebooks are designed to build knowledge systematically, with later volumes building on the foundations laid by earlier ones. This comprehensive series is an indispensable resource for anyone seeking to develop expertise in artificial intelligence.

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