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Autor(en): 
  • Eric Ostertag
  • Mono- and Multivariable Control and Estimation: Linear, Quadratic and LMI Methods 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Februar 2013  
    Genre:  Naturwissensch., Medizin, Technik 
     
    ControlSystems / DigitalControl / LinearMatrixInequalities / Mathematik für Ingenieure / Modalcontrolmethod / Multivariablecontrol / Multivariableestimation / Regelungstechnik
    ISBN:  9783642266461 
    EAN-Code: 
    9783642266461 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Mathematical Engineering  
    Dimensionen:  H 235 mm / B 155 mm / D 20 mm 
    Gewicht:  546 gr 
    Seiten:  360 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book presents the various design methods of a state-feedback control law and of an observer. The considered systems are of continuous-time and of discrete-time nature, monovariable or multivariable, the last ones being of main consideration. Three different approaches are described: . Linear design methods, with an emphasis on decoupling strategies, and a general formula for multivariable controller or observer design; . Quadratic optimization methods: Linear Quadratic Control (LQC), optimal Kalman filtering, Linear Quadratic Gaussian (LQG) control; . Linear matrix inequalities (LMIs) to solve linear and quadratic problems. The duality between control and observation is taken to advantage and extended up to the mathematical domain. A large number of exercises, all given with their detailed solutions, mostly obtained with MATLAB, reinforce and exemplify the practical orientation of this book. The programs, created by the author for their solving, are available on the Internet sites of Springer and of MathWorks for downloading. This book is targeted at students of Engineering Schools or Universities, at the Master's level, at engineers desiring to design and implement innovative control methods, and at researchers.
      



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