Controller Parameter Adaptation Algorithm Using Unfalsified Control Theory and Gradient Method

نویسندگان

  • Myungsoo Jun
  • Michael G. Safonov
چکیده

In this paper a new controller parameter adaptation rule is proposed. The proposed adaptation rule is derived via unfalsification control theory and gradient method without imposing many assumptions on the plant. Convergence of parameter is discussed. Numerical examples and simulation results are also provided.

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تاریخ انتشار 2002