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Autor(en): 
  • Sing Kiong Nguang
  • Jian Zhang
  • Akshya Kumar Swain
  • Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht
     
    Lieferstatus:   i.d.R. innert 4-7 Tagen versandfertig
    Veröffentlichung:  Juni 2016  
    Genre:  Naturwissensch., Medizin, Technik 
    ISBN:  9783319323237 
    EAN-Code: 
    9783319323237 
    Verlag:  Springer-Verlag GmbH 
    Einband:  Set (Buch und div.)  
    Sprache:  English  
    Dimensionen:  H 245 mm / B 164 mm / D 19 mm 
    Gewicht:  518 gr 
    Seiten:  224 
    Illustration:  2 schwarz-weiße und 42 farbige Abbildungen, 10 farbige Tabellen, Bibliographie 
    Zus. Info:  Book w. online files/update 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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 written so as to be semi-independent of each other.
    Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

      



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