Preview
Unable to display preview. Download preview PDF.
References
G. Goodwin and M. Salgado, “Quantification of uncertainty in estimation using an embedding principle,” in Proc. Amer. Control Conf., 1989.
G. Goodwin, B. Ninness, and M. Salgado, “Quantification of uncertainty in estimation,” in Proc. Amer. Control Conf., pp. 2400–2405, 1990.
B. M. Ninness and G. C. Goodwin, “Robust frequency response estimation accounting for noise and undermodeling,” in Proc. Amer. Control Conf., pp. 2847–2851, 1992.
H. Hjalmarsson and L. Ljung, “Estimating model variance in the case of undermodeling,” IEEE Trans. Auto. Control, vol. 37, pp. 1004–1008, July 1992.
L. Ljung, System Identification, Theory for the User. Information and System Sciences Series, New Jersey: Prentice-Hall, 1987.
A. Helmicki, C. Jacobson, and C. Nett, “H ∞ identification of stable lsi systems: A scheme with direct application to controller design,” Proc. Amer. Control Conf., pp. 1428–1434, 1989.
A. J. Helmicki, C. A. Jacobson, and C. N. Nett, “Control oriented system identification: A worst-case/deterministic approach in H ∞,” IEEE Trans. Auto. Control, pp. 1163–1176, 1991.
P. Mäkilä and J. Partingtion, “Robust approximation and identification in H ∞,” Proc. Amer. Control Conf., pp. 70–76, 1991.
P. Mäkilä, “Laguerre methods and H ∞ identification of continuous-time systems,” Int. J. of Control, vol. 53, pp. 689–707, 1991.
G. Gu and P. P. Khargonekar, “Linear and nonlinear algorithms for identification in H ∞ with error bounds,” in Proc. Amer. Control Conf., pp. 64–69, 1991.
R. S. Smith and J. Doyle, “Model invalidation — a connection between robust control and identification,” in Proc. Amer. Control Conf., pp. 1435–1440, 1989.
R. S. Smith, Model Validation for Uncertain Systems. PhD thesis, California Institute of Technology, 1990.
J. M. Krause, “Stability margins with real parameter uncertainty: Test data implications,” in Proc. Amer. Control Conf., pp. 1441–1445, 1989.
J. Doyle, “Structured uncertainty in control system design,” in Proc. IEEE Control Decision Conf., pp. 260–265, 1985.
A. K. Packard, What's new with μ. PhD thesis, University of California, Berkeley, 1988.
The MathWorks, Inc., Natick, MA, μ-Analysis and Synthesis Toolbox (μ-Tools), 1991.
M. A. Dahleh and J. B. Pearson, Jr., “l 1-optimal feedback controllers for MIMO discrete-time systems,” IEEE Trans. Auto. Control, vol. AC-32, pp. 314–322, Apr. 1987.
M. Khammash and J. B. Pearson, Jr., “Performance robustness of discrete-time systems with structured uncertainty,” IEEE Trans. Auto. Control, vol. AC-36, pp. 398–412, Apr. 1991.
M. K. H. Fan and A. L. Tits, “Characterization and efficient computation of the structured singular value,” IEEE Trans. Auto. Control, vol. AC-31, pp. 734–743, 1986.
M. K. H. Fan and A. L. Tits, “m-form numerical range and the computation of the structured singular value,” IEEE Trans. Auto. Control, vol. AC-33, pp. 284–289, 1988.
R. S. Smith and J. C. Doyle, “Model validation: A connection between robust control and identification,” IEEE Trans. Auto. Control, vol. 37, pp. 942–952, July 1992.
R. S. Smith, “Model validation for robust control: an experimental process control application.” to be presented: IFAC World Congress, July 1993.
R. S. Smith, “Model validation and parameter identification for systems in H ∞ and l 1,” in Proc. Amer. Control Conf., pp. 2852–2856, 1992.
K. Poolla, P. Khargonekar, A. Tikku, J. Krause, and K. Nagpal, “A time-domain approach to model validation,” in Proc. Amer. Control Conf., pp. 313–317, 1992.
T. Zhou and H. Kimura, “Input-output extrapolation-minimization theorem and its application to model validation and robust identification,” in The Modeling of Uncertainty in Control: Proceedings of the 1992 Santa Barbara Workshop (R. Smith and M. Dahleh, eds.), Springer-Verlag, 1993. in press.
R. S. Smith and J. C. Doyle, “Towards a methodology for robust parameter identification,” in Proc. Amer. Control Conf., pp. 2394–2399, 1990.
J. M. Krause, P. P. Khargonekar, and G. Stein, “Robust parameter adjustment with nonparametric weighted-ball-in-H ∞ uncertainty,” IEEE Trans. Auto. Control, vol. AC-35, pp. 225–229, 1990.
J. M. Krause and P. P. Khargonekar, “Parameter identification in the presence of non-parametric dynamic uncertainty,” Automatica, vol. 26, pp. 113–124, 1990.
R. Kosut, M. Lau, and S. Boyd, “Parameter set identification of systems with uncertain nonparametric dynamics and disturbances,” in Proc. IEEE Control Decision Conf., vol. 6, pp. 3162–3167, 1990.
R. J. P. Schrama, “Accurate identification for control: the necessity of an iterative scheme,” IEEE Trans. Auto. Control, vol. 37, pp. 991–994, July 1992.
R. J. Schrama and P. M. V. den Hof, “An iterative scheme for identification and control design based on coprime factorizations,” in Proc. Amer. Control Conf., pp. 2842–2846, 1992.
Z. Zang, R. R. Bitmead, and M. Gevers, “H 2 iterative model refinement and control robustness enhancement,” in Proc. IEEE Control Decision Conf., pp. 279–284, 1991.
Z. Zang, R. R. Bitmead, and M. Gevers, “Disturbance rejection: on-line refinement of controllers by closed loop modelling,” in Proc. Amer. Control Conf., pp. 2929–2833, 1992.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1994 Springer-Verlag
About this paper
Cite this paper
Smith, R. (1994). An informal review of model validation. In: Smith, R.S., Dahleh, M. (eds) The Modeling of Uncertainty in Control Systems. Lecture Notes in Control and Information Sciences, vol 192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0036248
Download citation
DOI: https://doi.org/10.1007/BFb0036248
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-19870-3
Online ISBN: 978-3-540-39327-6
eBook Packages: Springer Book Archive