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Autor(en): 
  • Mazen Alamir
  • Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes: A Parametrized Approach for Fast Systems 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juli 2006  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Automatic control engineering / Automotive (motor mechanic) skills / Automotive Engineering / Automotive technology & trades / C / Calculus of variations / Calculus of Variations and Optimal Control; Optimization / Calculus of Variations and Optimization
    ISBN:  9781846284700 
    EAN-Code: 
    9781846284700 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #339 - Lecture Notes in Control and Information Sciences  
    Dimensionen:  H 235 mm / B 155 mm / D 20 mm 
    Gewicht:  1030 gr 
    Seiten:  308 
    Illustration:  XVII, 308 p. 102 illus., 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:
    While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization of fast systems. Dr. Alamir presents a successful approach to this problem based on a co-operation between structural considerations and on-line optimization. The balance between structural and optimization aspects of the method is dependent on the system being considered so the many examples aim to transmit a mode of thought rather than a ready-to-use recipe; they include: - double inverted pendulum; - non-holonomic systems in chained form; - snake board; - missile in intercept mission; - polymerization reactor; - walking robot; - under-actuated satellite in failure mode. In addition, the basic stability results under receding horizon control schemes are revisited using a sampled-time, low-dimensional control parameterization that is mandatory for fast computation and some novel formulations are proposed which offer promising directions for future research.
      



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