On the Basic Assumptions in the Identification of Continuous Time Systems

[1]  Karl Johan Åström,et al.  Zeros of sampled systems , 1980, 1980 19th IEEE Conference on Decision and Control including the Symposium on Adaptive Processes.

[2]  B. Anderson,et al.  Identifiability in dynamic errors-in-variables models , 1983, The 22nd IEEE Conference on Decision and Control.

[3]  K. Fernando,et al.  Identification of linear systems with input and output noise: the Koopmans-Levin method , 1985 .

[4]  Brian D. O. Anderson,et al.  Identification of scalar errors-in-variables models with dynamics , 1985, Autom..

[5]  M. Deistler Linear dynamic errors-in-variables models , 1986, Journal of Applied Probability.

[6]  Malvin Carl Teich,et al.  Power-law shot noise , 1990, IEEE Trans. Inf. Theory.

[7]  J. Schoukens,et al.  Robust identification of transfer functions in the s- and z-domains , 1990 .

[8]  B. Moor,et al.  Stepped sine system identification, errors-in-variables and the quotient singular value decomposition , 1990 .

[9]  Jitendra Tugnait Stochastic system identification with noisy input using cumulant statistics , 1992 .

[10]  V. P. Pyatti An exact expression for the noise voltage across a resistor shunted by a capacitor , 1992 .

[11]  Charles P. Neuman,et al.  Transformations between delta and forward shift operator transfer function models , 1993, IEEE Trans. Syst. Man Cybern..

[12]  J. Schoukens,et al.  Parametric identification of transfer functions in the frequency domain: a survey , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.