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Autor(en): 
  • Andrew P. White
  • Guoming Zhu
  • Jongeun Choi
  • Linear Parameter-Varying Control for Engineering Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  April 2013  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Automotive (motor mechanic) skills / Automotive Engineering / Automotive technology & trades / C / Control and Systems Theory / Control engineering / Cybernetics & systems theory / engineering
    ISBN:  9781447150398 
    EAN-Code: 
    9781447150398 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  SpringerBriefs in Control, Automation and Robotics
    SpringerBriefs in Electrical and Computer Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  201 gr 
    Seiten:  110 
    Illustration:  XIII, 110 p. 37 illus., 2 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The subject of this brief is the application of linear parameter-varying (LPV) control to  a class of dynamic systems to provide a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance.
    An important step in LPV control design, which is not well covered in the present literature, is the selection of weighting functions. The proper selection of weighting functions tunes the controller to obtain the desired closed-loop response. The selection of appropriate weighting functions is difficult and sometimes appears arbitrary. In this brief, gain-scheduling control with engineering applications is covered in detail, including the LPV modeling, the control problem formulation, and the weighting function optimization. In addition, an iterative algorithm for obtaining optimal output weighting functions with respect to the H2 norm bound is presented in this brief. Using this algorithm, the selection of appropriate weighting functions becomes an automatic process. The LPV design and control synthesis procedures in this brief are illustrated using:
    . air-to-fuel ratio control for port-fuel-injection engines;
    . variable valve timing control; and
    . application to a vibration control problem.
    After reading this brief, the reader will be able to apply its concepts to design gain-scheduling controllers for their own engineering applications. This brief provides detailed step-by-step LPV modeling and control design strategies along with an automatic weight-selection algorithm so that engineers can apply state-of-the-art LPV control synthesis to solve their own engineering problems. In addition, this brief should serve as a bridge between the H-infinity and H2 control theory and the real-world application of gain-scheduling control.
      



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