Normalized Iterative Feedback Tuning with Time Constraints

スポンサーリンク

概要

• 論文の詳細を見る

• This paper provides a normalized Iterative Feedback Tuning(IFT)method that assures the boundedness of the gradient vector estimate ∇J^^^(ρ)and the Hessian matrix estimate H^^^ without the assumption that the internal signals are bounded. The proposed method uses the unbiased Gauss-Newton direction by the addition of the 4-th experiment. We also present blended control criteria and a PID-like controller as new design choices. In examples, the normalized IFT method results in a good convergence although the internal signal or the measurement noise variance is large.

• 社団法人電子情報通信学会の論文
• 2001-02-01

著者

• Kim Sang

  The Faculty Of Electrical And Computer Engineering Division Postech

• Kim Sang

  The Faculty Of Electrical And Computer Engineering Division

• JO SungEun

  the Graduate School of Electrical and Computer Engineering Division, Pohang University of Science an

• LEE Jin

  the Faculty of Electrical and Computer Engineering Division, POSTECH

• Lee Jin

  The Faculty Of Electrical And Computer Engineering Division Postech

• Jo Sungeun

  The Graduate School Of Electrical And Computer Engineering Division Pohang University Of Science And

関連論文

• Normalized Iterative Feedback Tuning with Time Constraints
• A New Sliding Surface Design Method of Linear Systems with Mismatched Uncertainties(Systems and Control)

スポンサーリンク