Reducing the Dimensions of Data Matrices in LPV Subspace Identification

Filtering and system identification - a least squares approach

Subspace identification of a two-tank hybrid system

Iterative subspace identification of piecewise linear systems

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

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

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

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

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

Subspace identification of piecewise linear systems

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

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

Communication based longitudinal vehicle control using an extended kalman filter

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

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

Identification of stochastic max-plus-linear systems

Estimation and robustness analysis of actuator faults based on kalman filtering