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20102026
most citedTowards Efficient Maximum Likelihood Estimation of LPV-SS Models

28 citations · 98 across the 47 of their papers we have counts for

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Showing 2016Show all

6 papers · 1 filter

math.OC2016

Rational observers of rational systems

Jana Nemcova, Mihaly Petreczky, Jan H. van Schuppen

Rational observers are to be constructed for rational systems while polynomial observers are to be constructed for polynomial systems. An observer synthesis procedure is formulated…

eess.SY2016

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…

math.OC2016★ 1 cited

Minimax Observers for Linear DAEs

Sergiy Zhuk, Mihaly Petreczky

In this note we construct minimax observers for linear stationary DAEs with bounded uncertain inputs, given noisy measurements. We prove a new duality principle and show that a fin…

math.OC2016★ 1 cited

Relationship between Granger non-causality and graph structure of state-space representations

M. Jozsa, M. Petreczky, M. K. Camlibel

In this paper we present an equivalent form of Granger noncausality in state space representation. As a generalization of this result, necessary and sufficient conditions are provi…

math.OC2016

Moment matching for bilinear systems with nice selections

Mihály Petreczky, Rafael Wisniewski, John Leth

The paper develops a method for model reduction of bilinear control systems. It leans upon the observation that the input-output map of a bilinear system has a particularly simple…

math.OC2016

Realization Theory for LPV State-Space Representations with Affine Dependence

Mihály Petreczky, Roland Tóth, Guillaume Mercère

In this paper we present a Kalman-style realization theory for linear parameter-varying state-space representations whose matrices depend on the scheduling variables in an affine w…