Comparison of some instrumental variable methods - Consistency and accuracy aspects

A general analysis of various instrumental variable methods is given. The investigation includes methods for open loop operation as well as methods designed for closed loop operation. The instrumental variables are formed as different combinations of inputs, delayed inputs, delayed outputs, filtered inputs and external setpoint variations. Necessary conditions as well as sufficient conditions for consistency are explicitly derived and discussed. The paper also includes some simple counter-examples to general consistency for some common instrumental variable methods. Also asymptotic accuracy properties are reviewed. It is e.g. studied how the use of filters will influence the covariance matrix of the parameter estimates.

[1]  Petre Stoica,et al.  Comparison of Some Instrumental Variable Methods-Consistency and Accuracy Aspects , 1979 .

[2]  Lennart Ljung,et al.  A theoretical analysis of recursive identification methods , 1978, Autom..

[3]  Lennart Ljung,et al.  Some Limit Results for Functionals of Stochastic Processes , 1977 .

[4]  P. Young An instrumental variable method for real-time identification of a noisy process , 1970 .

[5]  Peter E. Wellstead,et al.  An instrumental product moment test for model order estimation , 1978, Autom..

[6]  Rowe,et al.  A bootstrap method for the statistical estimation of model parameters , 1970 .

[7]  K. Åström,et al.  Uniqueness of the maximum likelihood estimates of the parameters of an ARMA model , 1974 .

[8]  Heinz Unbehauen,et al.  On-line Identification of a Load-Dependent Heat Exchanger in Closed Loop Using a Modified Instrumental Variable Method , 1978 .

[9]  Lennart Ljung,et al.  On The Consistency of Prediction Error Identification Methods , 1976 .

[10]  Peter E. Caines,et al.  On the asymptotic normality of instrumental variable and least squares estimators , 1976 .

[11]  Lennart Ljung,et al.  Characterization of the Concept of 'Persistently Exciting' in the Frequency Domain , 1971 .

[12]  T. Söderstöm,et al.  Correspondence item: Convergence of identification methods based on the instrumental variable approach , 1974 .

[13]  T. Söderström,et al.  Optimal instrumental variable estimation and approximate implementations , 1983 .

[14]  I. D. Landau,et al.  A survey of model reference adaptive techniques - Theory and applications , 1973, Autom..

[15]  Kwan Wong,et al.  Identification of linear discrete time systems using the instrumental variable method , 1967, IEEE Transactions on Automatic Control.

[16]  Peter C. Young,et al.  Comments on "On-line identification of linear dynamic systems with applications to Kalman filtering" , 1972 .

[17]  Petre Stoica,et al.  Asymptotic behaviour of some bootstrap estimators , 1981 .

[18]  R. Ward,et al.  Notes on the instrumental variable method , 1977 .

[19]  I. Rowe,et al.  Strongly consistent parameter estimation by the introduction of strong instrumental variables , 1974 .

[20]  Kiyoshi Wada,et al.  An instrumental variable estimator with lagged output as instrument , 1977 .

[21]  G. A. Dirac,et al.  Moderne Algebra. I , 1951 .