Identifying MIMO Wiener systems using subspace model identification methods

Identification of Wiener systems with binary-valued output observations

Automatica (Journal of IFAC)

Towards identification of Wiener systems with the least amount of a priori information on the nonlinearity

Automatica (Journal of IFAC)

Maximum likelihood identification of Wiener models

Automatica (Journal of IFAC)

Brief paper: Computational complexity analysis of set membership identification of Hammerstein and Wiener systems

Automatica (Journal of IFAC)

Brief paper: Identification of a modified Wiener-Hammerstein system and its application in electrically stimulated paralyzed skeletal muscle modeling

Automatica (Journal of IFAC)

Towards identification of Wiener systems with the least amount of a priori information: IIR cases

Automatica (Journal of IFAC)

Identification of Wiener model using step signals and particle swarm optimization

Expert Systems with Applications: An International Journal

Brief paper: Convergence of the iterative algorithm for a general Hammerstein system identification

Automatica (Journal of IFAC)

Parameter bounds evaluation of Wiener models with noninvertible polynomial nonlinearities

Automatica (Journal of IFAC)

MINLIP for the identification of monotone Wiener systems

Automatica (Journal of IFAC)

Subspace identification of multivariable linear parameter-varying systems

Automatica (Journal of IFAC)

Brief Consistency analysis of subspace identification methods based on a linear regression approach

Automatica (Journal of IFAC)

Recursive subspace identification of linear and non-linear Wiener state-space models

Automatica (Journal of IFAC)

Frequency domain identification of Wiener models

Automatica (Journal of IFAC)

An approach for identification of uncertain Wiener systems

Mathematical and Computer Modelling: An International Journal

Nonlinear uncertainty model of a magnetic suspension system

Mathematical and Computer Modelling: An International Journal

On identification of FIR systems having quantized output data

Automatica (Journal of IFAC)

Identification of nonlinear MIMO block-oriented systems with moving average noises using gradient based and least squares based iterative algorithms

Neurocomputing

Identification of Hammerstein-Wiener models

Automatica (Journal of IFAC)

Nonlinear spline adaptive filtering

Signal Processing

Consistent identification of Wiener systems: A machine learning viewpoint

Automatica (Journal of IFAC)

Hammerstein uniform cubic spline adaptive filters: Learning and convergence properties

Signal Processing