| 书目名称 | Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® |
| 编辑 | Jian Zhang,Akshya Kumar Swain,Sing Kiong Nguang |
| 视频video | |
| 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 |
| 丛书名称 | Advances in Industrial Control |
| 图书封面 |  |
| 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 |
| 关键词 | Fault Diagnosis; Fault Detection and Isolation; Fault Estimation; Sensor Faults; Actuator Faults; Observe |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-32324-4 |
| isbn_softcover | 978-3-319-81256-4 |
| isbn_ebook | 978-3-319-32324-4Series ISSN 1430-9491 Series E-ISSN 2193-1577 |
| issn_series | 1430-9491 |
| copyright | Springer International Publishing Switzerland 2016 |
发表于 2025-3-21 19:54:39
