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Development of LPV models and switching LPV-H∞ controller for a hydraulic system.
2021Scopus
Artur Gmerek, Nader Meskin, Fadi Jaber
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Model reduction of stabilizable nonstationary LPV models
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004This paper provides a systematic approach for the model reduction of nonstationary linear parameter-varying (NLPV) models without the restriction that the model in question must be stable. The approach requires the development and use of coprime factorizations for NLPV models.
Mazen Farhood +2 more
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Model reference control of LPV systems
Journal of the Franklin Institute, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Abdullah, Mohamed Zribi
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A Method of LPV Model Identification for Control
IFAC Proceedings Volumes, 2008Nonlinear process identification for control is studied. In identification test, the process is only tested (excited) along its operating-trajectory that includes various working points and transition periods. In model identification, a linear parameter varying (LPV) model is used.
Zhu, Y., Xu, Zuhua
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On the model reduction of nonstationary LPV systems
Proceedings of the 2003 American Control Conference, 2003., 2004In this paper, we continue our work on the model reduction of nonstationary linear parameter-varying (NLPV) systems. Specifically, we (a) derive finite error bounds for eventually periodic systems; and (b) provide a general result of the reduction of NLPV models. The first contribution is readily computed using semidefinite programming.
Mazen Farhood +2 more
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On the identification of LPV traffic flow model
2009 European Control Conference (ECC), 2009Second order nonlinear macroscopic motorway flow model is in the focus of the paper. First, the pure nonlinear traffic flow model is transformed to an approximate Linear but Parameter Varying (LPV) state space form. Second, this paper shows the efficiency of an LPV subspace based identification algorithm in closed-loop, the Predictor Based Subspace ...
Tamás Luspay +3 more
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LPV model reference control for fixed-wing UAVs
IFAC-PapersOnLine, 2017 This paper proposes a linear parameter varying (LPV) model reference-based control for fixed-wing unmanned aerial vehicles (UAVs), which achieves agile and high performance tracking objectives in extended flight envelopes, e.g.
Tor Arne Johansen +2 more
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LPV Modelling and Identification: An Overview
2013The current state-of-the-art in the fields of control-oriented LPV modelling and LPV system identification is surveyed and the potential synergies between the two research areas are highlighted and discussed. Indeed, a number of methods and tools for the development of LPV models from nonlinear systems and for the identification of black-box LPV models
Lovera, Marco +2 more
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LPV system modeling with SSNN toolbox
2016 American Control Conference (ACC), 2016The main objective of this paper is to develop and design a State Space Neural Network toolbox for a non-linear system modeling with an artificial state-space neural networks, which can be used in a model-based robust fault diagnosis and control. Such a toolbox is implemented in the MATLAB environment and it uses some of its predefined functions. It is
Marcel Luzar, Andrzej Czajkowski
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Model reduction of nonstationary LPV systems
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003This paper focuses on the model reduction of nonstationary linear parameter-varying (LPV) systems. We provide an explicit method for the model reduction of such systems, along with an a priori error bound, which amounts to the generalization of balanced truncation to this nonstationary LPV setting.
Mazen Farhood +2 more
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