Feedback Error Learning with insufficient excitation

Control-theoretical studies on feedback error learning (FEL) have been active recently. The authors generalized this scheme to multi-input multi-output (MIMO) systems with application to writing one-stroke characters by a two-link manipulator. After mentioning those related works, this paper studies further issues on MIMO-FEL, with focus on insufficient excitation and plant parameter estimation by means of frequency response.

[1]  K. Watanabe,et al.  Feedback error learning control without recourse to positive realness , 2004, IEEE Transactions on Automatic Control.

[2]  Aiko Miyamura,et al.  Stability of feedback error learning scheme , 2002, Syst. Control. Lett..

[3]  K. Hirata,et al.  Generalization of Feedback Error Learning (FEL) to MIMO Systems , 2007 .

[4]  Takao Fujii,et al.  Fictitious Reference Iterative Tuning in the Two-Degree of Freedom Control Scheme and Its Application to a Facile Closed Loop System Identification , 2006 .

[5]  David S. Bayard,et al.  A result on exponential tracking error convergence and persistent excitation , 1998, IEEE Trans. Autom. Control..

[6]  S. Sastry,et al.  Adaptive Control: Stability, Convergence and Robustness , 1989 .

[7]  M. Kawato,et al.  A hierarchical neural-network model for control and learning of voluntary movement , 2004, Biological Cybernetics.

[8]  Toshiharu Sugie,et al.  Continuous-time Closed-loop Identification Method via Projection Type Iterative Learning , 2007 .

[9]  Basel Alali,et al.  Feedback Error Learning for Writing One Stroke Characters by Two-Link Manipulator , 2007 .

[10]  Osamu Kaneko,et al.  A fictitious reference iterative tuning (FRIT) in the two-degree of freedom control scheme and its a , 2005 .

[11]  B. Pasik-Duncan,et al.  Adaptive Control , 1996, IEEE Control Systems.

[12]  Gang Tao Adaptive Control Design and Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) , 2003 .