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Autor(en): 
  • Alberto Isidori
  • Lorenzo Marconi
  • Andrea Serrani
  • Robust Autonomous Guidance: An Internal Model Approach 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  September 2012  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Aerospace & aviation technology / Aerospace engineering / Aerospace Technology and Astronautics / astronautics / Automatic control engineering / Automation / C / Control and Systems Theory / Control engineering / Control, Robotics, Automation / Cybernetics & systems theory / Electronics / Electronics and Microelectronics, Instrumentation / Electronics engineering / engineering / Microelectronics / Robotics / Robotics and Automation / System Theory / Systems Theory, Control
    ISBN:  9781447111245 
    EAN-Code: 
    9781447111245 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Advances in Industrial Control  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  385 gr 
    Seiten:  229 
    Illustration:  XVI, 229 p. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    A typical plant control system will be subject to the undesirable influence of exogenous commands and disturbances. In order to track and reject these Professor Isidori and his co-authors have designed a feedback control system based on embedding a model of these disturbances within the controller itself - the so-called "internal model".

    Beginning with a review of the fundamental principles of internal-model-based feedback control design, Robust Autonomous Guidance moves on to expound recent enhancements to such designs and then to their implementation in systems operating under conditions of great uncertainty.

    The three case studies presented: attitude control of a low-Earth-orbit satellite and the landing of fixed- and rotary-winged aircraft on a ship involve control systems coping with a high degree of nonlinear behaviour. The key issues addressed in each case study are the design of an adaptive internal model for the specific tracking task and of stabilizing control capable of steering the tracking error to zero while keeping all internal states bounded for any arbitrarily large but bounded envelope of initial data and uncertain parameters. Nested saturated controls form the basis of novel tools for asymptotic analysis and design.

    Robust Autonomous Guidance will be of great interest to academic and industrial researchers working with nonlinear control systems and to engineers involved in the design of aerospatial guidance systems. It will also be a useful reference for graduate students working with non-linear systems.

     

    Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

      
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