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Titlebook: Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB?; Jian Zhang,Akshya Kumar Swain,Sing Kiong Nguang Book 2016 Sprin

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發(fā)表于 2025-3-21 19:54:39 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB?
編輯Jian Zhang,Akshya Kumar Swain,Sing Kiong Nguang
視頻videohttp://file.papertrans.cn/832/831339/831339.mp4
概述Serves as a self-contained treatment with detailed proofs, allowing readers to easily understand the use of robust observers in fault diagnosis.Presents industrial applications in a real-world context
叢書名稱Advances in Industrial Control
圖書封面Titlebook: Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB?;  Jian Zhang,Akshya Kumar Swain,Sing Kiong Nguang Book 2016 Sprin
描述.This book introduces several observer-based methods, including:.? the sliding-mode observer.? the adaptive observer.? the unknown-input observer and.? the descriptor observer method.for the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H¥ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB? and Simulink? codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are writ
出版日期Book 2016
關(guān)鍵詞Fault Diagnosis; Fault Detection and Isolation; Fault Estimation; Sensor Faults; Actuator Faults; Observe
版次1
doihttps://doi.org/10.1007/978-3-319-32324-4
isbn_softcover978-3-319-81256-4
isbn_ebook978-3-319-32324-4Series ISSN 1430-9491 Series E-ISSN 2193-1577
issn_series 1430-9491
copyrightSpringer International Publishing Switzerland 2016
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發(fā)表于 2025-3-21 21:51:04 | 只看該作者
Introduction,nvironmental impacts and even catastrophic disasters that claim both property and human life Venkatasubramanian V et al., Comput Chem Eng, 27:293–311, 2003, [.], Chen W, Model based fault diagnosis in complex control systems-robust and adaptive approaches. PhD thesis, Simon Fraser University, 2007, [.].
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發(fā)表于 2025-3-22 03:13:04 | 只看該作者
1430-9491 sis.Presents industrial applications in a real-world context.This book introduces several observer-based methods, including:.? the sliding-mode observer.? the adaptive observer.? the unknown-input observer and.? the descriptor observer method.for the problem of fault detection, isolation and estimat
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Introduction, condition which tends to degrade the overall performance of a system and leads to undesirable but still tolerable behavior of the system Gertler JJ, Fault detection and diagnosis in engineering systems, 1998, [.]. The increased productivity requirements and stringent performance specifications have
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978-3-319-81256-4Springer International Publishing Switzerland 2016
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Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB?978-3-319-32324-4Series ISSN 1430-9491 Series E-ISSN 2193-1577
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