System identification.

Filtering and system identification : = a least squares approach / by: (Language materials, printed)

System identification = a frequency domain approach / by: (Electronic resources)

Blind equalization and system identification : = batch processing algorithms, performance and applications / by: (Language materials, printed)

Interpolation, identification, and sampling / by: (Language materials, printed)

Nonlinear system identification : = from classical approaches to neural networks and fuzzy models / by: (Language materials, printed)

Cluster analysis for data mining and system identification / by: (Language materials, printed)

Subspace Methods for System Identification by: (Language materials, printed)

Robustness in identification and control by: (Language materials, printed)

Identification for automotive systems by: (Electronic resources)

The Statistical theory of linear systems / by: (Language materials, printed)

System identification and adaptive control = theory and applications of the neurofuzzy and fuzzy cognitive network models / by: (Electronic resources)

Using imperfect semiconductor systems for unique identification by: (Electronic resources)

Errors-in-variables methods in system identification by: (Electronic resources)

Nonlinear system identification = from classical approaches to neural networks, fuzzy models, and Gaussian processes / by: (Electronic resources)

Blind identification of structured dynamic systems = a deterministic perspective / by: (Electronic resources)

Regularized system identification = learning dynamic models from data / by: (Electronic resources)

Identification of parametric models from experimental data / by: (Language materials, printed)