On the uniqueness of prediction error models for systems with noisy input-output data
Automatica (Journal of IFAC)
Identification of dynamic errors-in-variables models
Automatica (Journal of IFAC)
Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Survey paper: Errors-in-variables methods in system identification
Automatica (Journal of IFAC)
Brief paper: Solution set properties for static errors-in-variables problems
Automatica (Journal of IFAC)
Paper: Identification of scalar errors-in-variables models with dynamics
Automatica (Journal of IFAC)
Papers: Identification of stochastic linear systems in presence of input noise
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief paper: On the identifiability of errors-in-variables models with white measurement errors
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Technical communique: Can errors-in-variables systems be identified from closed-loop experiments?
Automatica (Journal of IFAC)
Identification of errors-in-variables systems with nonlinear output observations
Automatica (Journal of IFAC)
Recursive identification of errors-in-variables Wiener systems
Automatica (Journal of IFAC)
Hi-index | 22.16 |
There has been substantial research carried out on the errors in variables (EIV) identifiability problem for dynamic systems. These results are spread across a significant volume of literature. Here, we present a single theorem which compactly summarizes many of the known results. The theorem also covers several cases which we believe to be novel. We analyze single input single output systems using second order properties. We also extend the results to a class of multivariable systems.