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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https://doi.org/10.1007/978-3-319-32324-4Fault Diagnosis; Fault Detection and Isolation; Fault Estimation; Sensor Faults; Actuator Faults; Observe

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Detection and Isolation of Actuator Faults,This chapter presents an SMO-based actuator FDI approach for uncertain Lipschitz nonlinear systems. It is assumed in this chapter only actuator faults occur in the system.

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Bravura

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,Simultaneous Estimation of Actuator and Sensor Faults Using SMO and UIO,For the same faulty system that has been considered in Chap. ., we develop an alternative scheme which is based on sliding-mode observer (SMO) and unknown-input observer (UIO), to simultaneously estimate actuator and sensor faults.

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Jian Zhang,Akshya Kumar Swain,Sing Kiong NguangServes 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

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Book 2016 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