2 citations · 2 across the 4 of their papers we have counts for
6 papers
Affine Linear Parameter-Varying Embedding of Nonlinear Models with Improved Accuracy and Minimal Overbounding
Arash Sadeghzadeh, Bardia Sharif, Roland Toth
In this paper, automated generation of linear parameter-varying (LPV) state-space models to embed the dynamical behavior of nonlinear systems is considered, focusing on the trade-o…
Linear Parameter-Varying Subspace Identification: A Unified Framework
P. B. Cox, R. Tóth
In this paper, we establish a unified framework for subspace identification (SID) of linear parameter-varying (LPV) systems to estimate LPV state-space (SS) models in innovation fo…
On the Initialization of Nonlinear LFR Model Identification with the Best Linear Approximation
Maarten Schoukens, Roland Toth
Balancing the model complexity and the representation capability towards the process to be captured remains one of the main challenges in nonlinear system identification. One possi…
A Tree Adjoining Grammar Representation for Models Of Stochastic Dynamical Systems
Dhruv Khandelwal, Maarten Schoukens, Roland Tóth
Model structure and complexity selection remains a challenging problem in system identification, especially for parametric non-linear models. Many Evolutionary Algorithm (EA) based…
Heterogeneously parameterized tube model predictive control for LPV systems
Jurre Hanema, Mircea Lazar, Roland Tóth
This paper presents a heterogeneously parameterized tube-based model predictive control (MPC) design applicable to linear parameter-varying (LPV) systems. In a heterogeneous tube,…
Linear Parameter-Varying Control of Nonlinear Systems based on Incremental Stability
P. J. W. Koelewijn, R. Tóth, H. Nijmeijer
The Linear Parameter-Varying (LPV) framework has long been used to guarantee performance and stability requirements of nonlinear (NL) systems mainly through the -gai…