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Autor(en): 
  • Panagiotis D. Christofides
  • Jinfeng Liu
  • David Muñoz de la Peña
  • Networked and Distributed Predictive Control: Methods and Nonlinear Process Network Applications 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2013  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Alternative & renewable energy sources & technology / B / Chemical Engineering / Computer Communication Networks / Computer communication systems / Control and Systems Theory / Control engineering / Cybernetics & systems theory
    ISBN:  9781447126485 
    EAN-Code: 
    9781447126485 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Advances in Industrial Control  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  403 gr 
    Seiten:  232 
    Illustration:  XXVIII, 232 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Networked and Distributed Predictive Control presents rigorous, yet practical, methods for the design of networked and distributed predictive control systems. The design of model predictive control systems using Lyapunov-based techniques to account for the influence of asynchronous and delayed measurements is followed by a treatment of networked control architecture development. This shows how networked control can augment dedicated control systems in a natural way and takes advantage of additional, potentially asynchronous and delayed measurements to maintain closed loop stability and significantly to improve closed-loop performance. The text then shifts focus to the design of distributed predictive control systems that cooperate efficiently in computing optimal manipulated input trajectories that achieve desired stability, performance and robustness specifications but utilize a fraction of the time required by centralized control systems. Key features of this book include:·         new techniques for networked and distributed control system design;·         insight into issues associated with networked and distributed predictive control problems; ·         detailed appraisal of industrial relevance using computer simulation of nonlinear chemical process networks and wind- and solar-energy-generation systems; and·         integrated exposition of novel research topics and rich resource of references to significant recent work.A full understanding of Networked and Distributed Predictive Control requires a basic knowledge of differential equations, linear and nonlinear control theory and optimization methods and the book is intended for academic researchers and graduate students studying control as well as for process control engineers. The constant attention to practical matters associated with implementation of the theory discussed will help researchers and engineersunderstand the application of the book's methods in greater depth.
      



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