Robust Stability and Performance in the Presence of Parametric and Norm Bounded Uncertainty

  • Giovanni Fiorio
  • Mario Milanese
  • Antonio Vicino
Part of the Progress in Systems and Control Theory book series (PSCT, volume 12)


Control design of actual plants is usually based on mathematical descriptions of the system to be controlled. In practice, approximate models only can be constructed, and the objective of robust design techniques is to take into account the discrepancies between the model and the real system. These discrepancies are often accounted for by complementing the model with perturbations of parametric or non-parametric nature. The former kind of perturbation, often called highly structured perturbation, mainly accounts for approximate knowledge of exact values of system physical parameters or for different operation conditions the system may undergo. The latter type of uncertainty, often referred to as unstructured perturbation, generally accounts for unmodelled dynamics. The common way of representing parametric uncertainty is by assuming an admissible set for model parameters; unstructured uncertainty is generally represented by a frequency dependent tolerance band on the nominal response of the system.


Robust Stability Absolute Stability Small Gain Theorem Strict Positive Realness Norm Bound Uncertainty 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • Giovanni Fiorio
    • 1
  • Mario Milanese
    • 1
  • Antonio Vicino
    • 2
  1. 1.Dipartimento di Automatica e InformaticaPolitecnico di TorinoItaly
  2. 2.Dipartimento di Ingegneria ElettricaUniversità di L’AquilaItaly

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