Identification of Normalised Coprime Plant Factors from Closed-loop Experimental Data

@article{Hof1995IdentificationON,
  title={Identification of Normalised Coprime Plant Factors from Closed-loop Experimental Data},
  author={Paul M. J. Van den Hof and Ruud J. P. Schrama and Raymond A. de Callafon and Okko H. Bosgra},
  journal={Eur. J. Control},
  year={1995},
  volume={1},
  pages={62-74}
}
Recently introduced methods of iterative identification and control design are directed towards the design of high performing and robust control systems. These methods show the necessity of identifying approximate models from closed loop plant experiments. In this paper a method is proposed to approximately identify normalized coprime plant factors from closed loop data. The fact that normalized plant factors are estimated gives specific advantages both from an identification and from a robust… CONTINUE READING
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References

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Showing 1-10 of 42 references

Kosut and I.M.Y

W. S. Lee, R.L.B.D.O. Anderson
Int. J. Adaptive Control and Signal Proc., • 1993
View 8 Excerpts
Highly Influenced

Approximate Identification and Control Design with Application to a Mechanical System

R.J.P. Schrama
Dr. Dissertation, Delft University of Technology, • 1992
View 5 Excerpts
Highly Influenced

An open-loop solution to the approximate closed-loop identification problem

R.J.P. Schrama
Proc. 9th IFAC/IFORS Symposium Identification and System Param. Estim., July • 1991
View 5 Excerpts
Highly Influenced

Fractional Representation Approach to Closed-Loop System Identification and Experiment Design

F. R. Hansen
1989
View 5 Excerpts
Highly Influenced

An H∞ design procedure using robust stabilization of normalized coprime factors

D. McFarlane, K. Glover
Proc. 27th IEEE Conf. Decis • 1988
View 4 Excerpts
Highly Influenced

Identification for Robust Process Control; nominal models and error bounds

R. G. Hakvoort
Dr. Dissertation, Delft Univ. Technology, • 1994
View 1 Excerpt

Identification of Model Uncertainty for Control Design

D. K. de Vries
Dr. Dissertation, Delft Univ. Technology, • 1994
View 1 Excerpt

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