| 書目名稱 | Nonlinear Filtering | | 副標(biāo)題 | Methods and Applicat | | 編輯 | Kumar Pakki Bharani Chandra,Da-Wei Gu | | 視頻video | http://file.papertrans.cn/668/667496/667496.mp4 | | 概述 | Illustrates the complete process of filtering-algorithm derivation.Demonstrates the real-world applications of filtering methods using case studies.MATLAB? codes facilitate the use and adaptation of t | | 圖書封面 |  | | 描述 | .This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including the extended, unscented and cubature Kalman filters. The cubature Kalman filter and its variants are introduced in particular detail because of their efficiency and their ability to deal with systems with Gaussian and/or non-Gaussian noise. The book also discusses information-filter and square-root-filtering algorithms, useful for state estimation in some real-time control system design problems.. .A number of case studies are included in the book to illustrate the application of various nonlinear filtering algorithms. .Nonlinear Filtering. is written for academic and industrial researchers, engineers and research students who are interested in nonlinear control systems analysis and design.?The chief features of the book include: dedicated coverage of recently developed nonlinear, Jacobian-free, filtering algorithms; examples illustrating the use of n | | 出版日期 | Book 2019 | | 關(guān)鍵詞 | Advanced State Estimators; Jacobian-free State Estimation; Numerical Exploration of Filtering Algorith | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-01797-2 | | isbn_ebook | 978-3-030-01797-2 | | copyright | Springer Nature Switzerland AG 2019 |
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