论文信息 - Bias and Variance Distribution in Transfer Function Estimation

Bias and Variance Distribution in Transfer Function Estimation

Abstract This paper gives qualitative and quantitive information on the bias and variance distribution of estimated transfer functions. The formulae show how the bias and variance distribution can be affected by the choices of design parameters : input spectrum, filters and model structure.

Graham C. Goodwin | David Q. Mayne | Michel Gevers

[1] John B. Moore,et al. Model approximations via prediction error identification , 1978, Autom..

[2] G. Goodwin,et al. On the Estimation of the Parameter of an Optimal Interpolator When the Class of Interpolators is Restricted , 1980 .

[3] L. Ljung. On Consistency and Identifiability , 1976 .

[4] Graham C. Goodwin,et al. Choice of Basis Functions for Continuous and Discrete System Modelling , 1992 .

[5] G. Goodwin,et al. A stochastic embedding approach for quantifying uncertainty in the estimation of restricted complexity models , 1989 .

[6] R. Kosut. Adaptive Robust Control via Transfer Function Uncertainty Estimation , 1988, 1988 American Control Conference.

[7] L. Ljung,et al. Asymptotic properties of black-box identification of transfer functions , 1985 .

[8] L. Ljung,et al. Design variables for bias distribution in transfer function estimation , 1986, The 23rd IEEE Conference on Decision and Control.

[9] L. Valavani,et al. A Frequency-Domain Estimator for Use in Adaptive Control Systems , 1987 .

[10] P. Caines. Stationary linear and non-linear system identification and predictor set completeness , 1977 .