Adaptability of Nonlinear Continuous Control Systems

  • Authors:

  • M. V. Morozov;I. B. Yadykin

  • Affiliations:

  • Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia;Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia

  • Venue:
  • Automation and Remote Control
  • Year:
  • 2001

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Abstract

Parameter adjustment characteristics of linear continuous regulators for nonlinear multiconnected controlled objects whose models belong to the class of state models is analyzed. Regulator adjustment algorithms use the estimates of the parameters of the object. For determining the parameters of an object in this class of systems, there are parametric identification algorithms, which are the generalization of analogous algorithms for linear objects. Local and global, complete and partial adaptability are defined. Criteria for the local and global, complete and partial adaptability are formulated in the form of rank properties of special adaptability matrices. Examples of control systems with local and global, complete and partial adaptability of regulators are given.