Nonlinear self-tuning control incorporating cautious estimation

  • James, D.J.G. (Control Theory and Applications Center, Coventry University) ;
  • Burnham, K.J. (Control Theory and Applications Center, Coventry University)
  • Published : 1996.10.01

Abstract

The paper highlights the need for cautious least squares estimation when dealing with industrial applications of bilinear self-tuning control and indicates in qualitative terms the benefits of the approach over linear self-tuning control schemes. The cautious least squares algorithm is described and the use of cautious self-tuning in the context of both commissioning and implementation discussed.

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