Reducing the Dimensions of Data Matrices in LPV Subspace Identification

Filtering and system identification - a least squares approach

On the use of composite local models for nonlinear system identification applied to systems biology

Subspace identification of a two-tank hybrid system

Iterative subspace identification of piecewise linear systems

Identification of local linear state space models: the silver box case study

Fault detection and identification of actuator faults using linear parameter varying models

Kernel methods for subspace identification of multivariable LPV and bilinear systems

A switching method based on projected subspace classification

Fault detection and identification for wind turbine systems: a closed-loop analysis

Communication based longitudinal vehicle control using an extended kalman filter

Identification of fully parameterized linear and nonlinear state-space systems by projected gradient search

Separable least squares for projected gradient identification of composite local linear state-space models

Subspace identification of piecewise linear systems

Experimental evaluation of a co-operative driving setup based on inter-vehicle communication

Least squares support vector machines for Kernel CCA in nonlinear state-space identification

Identification of linear parameter-varying state-space models with application to helicopter rotor dynamics

Identification of non-linear state-space systems using zero-input responses

Identification of stochastic max-plus-linear systems

A kernel method for subspace identification of multivariable bilinear systems