38 citations · 239 across the 28 of their papers we have counts for
6 papers · 1 filter
Grammar-based Representation and Identification of Dynamical Systems
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
In this paper we propose a novel approach to identify dynamical systems. The method estimates the model structure and the parameters of the model simultaneously, automating the cri…
On the Simulation of Polynomial NARMAX Models
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
In this paper, we show that the common approach for simulation non-linear stochastic models, commonly used in system identification, via setting the noise contributions to zero res…
Linear Parameter Varying Representation of a class of MIMO Nonlinear Systems
Maarten Schoukens, Roland Tóth
Linear parameter-varying (LPV) models form a powerful model class to analyze and control a (nonlinear) system of interest. Identifying an LPV model of a nonlinear system can be cha…
From Nonlinear Identification to Linear Parameter Varying Models: Benchmark Examples
Maarten Schoukens, Roland Tóth
Linear parameter-varying (LPV) models form a powerful model class to analyze and control a (nonlinear) system of interest. Identifying a LPV model of a nonlinear system can be chal…
Towards Efficient Maximum Likelihood Estimation of LPV-SS Models
Pepijn B. Cox, Roland Tóth, Mihály Petreczky
How to efficiently identify multiple-input multiple-output (MIMO) linear parameter-varying (LPV) discrete-time state-space (SS) models with affine dependence on the scheduling vari…
Affine Parameter-Dependent Lyapunov Functions for LPV Systems with Affine Dependence
Pepijn B. Cox, Siep Weiland, Roland Tóth
This paper deals with the certification problem for robust quadratic stability, robust state convergence, and robust quadratic performance of linear systems that exhibit bounded ra…