28 citations · 98 across the 47 of their papers we have counts for
12 papers · 1 filter
A four-bodies motorcycle dynamic model for observer design
Tychique Nzalalemba Kabwangala, Ziad Alkhoury, Jawwad Ahmed +3
Motivated by the need to predict dangerous scenarios, this article introduces a non-linear dynamic model for motorcycles consisting of four rigid bodies. Using Jourdain's principle…
Learning stability of partially observed switched linear systems
Zheming Wang, Raphaël M. Jungers, Mihály Petreczky +2
This paper deals with learning stability of partially observed switched linear systems under arbitrary switching. Such systems are widely used to describe cyber-physical systems wh…
Reduced-order modeling of LPV systems in the Loewner framework
Ion Victor Gosea, Mihaly Petreczky, Athanasios C. Antoulas
We propose a model reduction method for LPV systems. We consider LPV state-space representations with an affine dependence on the scheduling variables. The main idea behind the pro…
LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach
Hossam S. Abbas, Roland Tóth, Mihály Petreczky +3
This paper introduces a systematic approach to synthesize linear parameter-varying (LPV) representations of nonlinear (NL) systems which are described by input affine state-space (…
Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs
Manas Mejari, Mihaly Petreczky
In this paper, we present a realization and an identification algorithm for stochastic Linear Parameter-Varying State-Space Affine (LPV-SSA) representations. The proposed realizati…
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…
Comparing global input-output behavior of frozen-equivalent LPV state-space models
Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère
It is known that in general, \emph{frozen equivalent} (Linear Parameter-Varying) LPV models, \emph{i.e.}, LPV models which have the same input-output behavior for each constant sch…
Model Reduction for Aperiodically Sampled Data Systems
Mert Bastug, Laurentiu Hetel, Mihaly Petreczky
Two approaches to moment matching based model reduction of aperiodically sampled data systems are given. The term "aperiodic sampling" is used in the paper to indicate that the tim…
Structural properties of LPV to LFR transformation: minimality, input-output behavior and identifiability
Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère
In this paper, we introduce and study important properties of the transformation of Affine Linear Parameter-Varying (ALPV) state-space representations into Linear Fractional Repres…
Moment Matching Based Model Reduction for LPV State-Space Models
Mert Bastug, Mihaly Petreczky, Roland Toth +3
We present a novel algorithm for reducing the state dimension, i.e. order, of linear parameter varying (LPV) discrete-time state-space (SS) models with affine dependence on the sch…
Model Reduction of Linear Switched Systems by Restricting Discrete Dynamics
Mert Bastug, Mihaly Petreczky, Rafael Wisniewski +1
We present a procedure for reducing the number of continuous states of discrete-time linear switched systems, such that the reduced system has the same behavior as the original sys…
Model Reduction by Moment Matching for Linear Switched Systems
Mert Bastug, Mihaly Petreczky, Rafael Wisniewski +1
Two moment-matching methods for model reduction of linear switched systems (LSSs) are presented. The methods are similar to the Krylov subspace methods used for moment matching for…