Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB®

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 a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Zhang, Jian (Autor), Swain, Akshya Kumar (Autor), Nguang, Sing Kiong (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Advances in Industrial Control,
Temas:
Control engineering.
Chemistry, Technical.
Aerospace engineering.
Astronautics.
Robotics.
Automation.
Control and Systems Theory.
Industrial Chemistry.
Aerospace Technology and Astronautics.
Control, Robotics, Automation.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Introduction
  • Detection and Isolation of Actuator Faults
  • Detection and Isolation of Sensor Faults
  • Robust Estimation of Actuator Faults
  • Robust Estimation of Sensor Faults
  • Simultaneous Estimation of Actuator and Sensor Faults Using SMO and AO
  • Simultaneous Estimation of Actuator and Sensor Faults Using SMO and UIO
  • Simultaneous Estimation of Actuator and Sensor Faults for Descriptor Systems
  • Conclusions and Future Work
  • Appendices: Solving Linear Matrix Inequality (LMI) Problems; Proof of Lemma 3.1.

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