Results 151 to 160 of about 8,922,535 (177)
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2014
The goal of this chapter is to introduce the main ways for representing linear parameter-varying systems and emphasize their ability to represent a wide class of dynamical systems. A classification of the types of parameters regarding their mathematical properties and their physical meaning is also given.
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The goal of this chapter is to introduce the main ways for representing linear parameter-varying systems and emphasize their ability to represent a wide class of dynamical systems. A classification of the types of parameters regarding their mathematical properties and their physical meaning is also given.
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LPV Systems and Representations
2010In this chapter, a behavioral framework of LPV systems is introduced as an extension of the LTI behavioral approach. This is done with the intention to give a unified view on LPV system theory, that enables to approach LPV system identification in a well-founded system theoretic sense.
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2012
The framework of Linear Parameter Varying (LPV) systems concerns linear dynamical systems whose state-space representations depend on exogenous nonstationary parameters. Since its introduction by Shamma and Athans in 1988 to model gain-scheduling, the LPV paradigm has become a standard formalism in systems and controls, with many papers devoted to ...
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The framework of Linear Parameter Varying (LPV) systems concerns linear dynamical systems whose state-space representations depend on exogenous nonstationary parameters. Since its introduction by Shamma and Athans in 1988 to model gain-scheduling, the LPV paradigm has become a standard formalism in systems and controls, with many papers devoted to ...
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Polytopic LPV approaches for intelligent automotive systems: State of the art and future challenges
Mechanical Systems and Signal Processing, 2021Hui Zhang, Haiping Du, Anh-Tu Nguyen
exaly
LPV Modeling of Physical Systems
2010With the motivation to provide tools for model-structure selection in LPV identification, in this section modeling of physical systems described by nonlinear differential equations is studied in the LPV framework. It is investigated how such a nonlinear system can be realized or approximated by a LPV system, giving models of the original behavior in ...
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Detection filter design for LPV systems—a geometric approach
Automatica, 2004József Bokor, G Balas
exaly
Subspace identification of Bilinear and LPV systems for open- and closed-loop data
Automatica, 2009Michel Verhaegen +1 more
exaly

