196 BIBLIOGRAPHY
[37] R. Kosut, M. Lau, and S. Boyd, “Parameter set identificationof systems with
uncertain nonparametric dynamicsand disturbances,” in Proc. IEEE Control
Decision Conf., vol. 6, pp. 3162–3167,1990.
[38] G. Goodwin, B. Ninness, and M. Salgado, “Quantification of uncertainty in
estimation,” in Proc. Amer. Control Conf., pp. 2400–2405, 1990.
[39] B. M. Ninness and G. C. Go odwin, “Robust frequency response estimation
accounting for noise and undermodeling,” in Proc. Amer. Control Conf.,
pp. 2847–2851, 1992.
[40] R. S. Smith and J. Doyle, “Mo del invalidation— a connection between robust
control and identification,” in Proc. Amer. Control Conf.,pp. 1435–1440, 1989.
[41] J. M. Krause, “Stability margins with real parameter uncertainty: Test data
implications,” in Proc. Amer. Control Conf.,pp. 1441–1445, 1989.
[42] R. S. Smith and J. C. Doyle, “Mo del validation: A connection between robust
control and identification,” IEEE Trans. Auto. Control,vol. 37, pp. 942–952, July
1992.
[43] M. Newlin and R. S. Smith, “Model validation and generalized µ,” in Proc. IEEE
Control Decision Conf., pp. 1257–1258, 1991.
[44] 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.
[45] R. S. Smith, “Model validation and parameter identification for systems in H∞and
l1,” in Proc. Amer. ControlConf., pp. 2852–2856, 1992.
[46] T. Zhou and H. Kimura, “Input-output extrapolation-minimization theorem and its
application to model validation and robust identification,” in The Modeling of
Uncert ainty in Con trol: Proceed ings of the 1992 Santa Barbara Workshop (R. Smith
and M. Dahleh, eds.), pp.127–137, Springer-Verlag, 1994.
[47] R. S. Smith, “Mo del validationfor ro bustc ontrol: an experimental process control
application,” in Proc. of the 13th IFACWorld Congress, vol. 9, pp. 61–64, July
1993.
[48] J. M. Krause and P. P. Khargonekar,“Parameter identification in the presence of
non-parametric dynamic uncertainty,”Automatica, vol. 26, pp. 113–124,1990.
[49] R. Smith and J. Doyle, “Towards a methodology for robust parameter
identification,” in Proc. Amer.Con trolConf., vol. 3, pp. 2394–2399,1990.