Results 201 to 210 of about 23,813,154 (256)
Some of the next articles are maybe not open access.
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
openaire +1 more source
LPV MODELING OF A TURBOFAN ENGINE
IFAC Proceedings Volumes, 2005Abstract This article describes the application of quasi-LPV modeling techniques to an industrial military turbofan engine simulator developed by Snecma Moteurs, the French aerospace propulsion company. Two approaches are used, classical Jacobian linearization and velocity based linearization. First, we present briefly the theoretical aspects of both
Luc Reberga +3 more
openaire +1 more source
Automated Generation and Assessment of Affine LPV Models
Proceedings of the 45th IEEE Conference on Decision and Control, 2006LPV representations of given nonlinear or parameter dependent plants are usually not unique, and different models lead to different achievable performance when LMI techniques are used to design LPV controllers. To facilitate the construction of suitable LPV plant models, a method for automated generation of affine LPV representations has been developed
Kwiatkowski, Andreas +2 more
openaire +1 more source
Self-Scheduling MPC Using LPV Models
1998This paper presents a self-scheduling MPC framework for plants described by LPV (Linear Parameter Varying) models. Such a controller adjusts to variations in plant dynamics by using measured values of the parameters in the control law. We apply the method to control of nonlinear plants approximated by LPV models constructed from multiple local linear ...
Y. Arkun, A. Banerjee, N. M. Lakshmanan
openaire +1 more source
Model Reduction of Nonstationary LPV Systems
IEEE Transactions on Automatic Control, 2007This paper focuses on the model reduction of nonstationary linear parameter-varying (NSLPV) systems. We provide a generalization of the balanced truncation procedure for the model reduction of stable NSLPV systems, along with a priori error bounds. Then, for illustration purposes, this method is applied to reduce the model of a two-mass translational ...
Mazen Farhood, Geir E. Dullerud
openaire +1 more source
LPV Model-based Adaptive MPC of an eVTOL Aircraft During Tilt Transition Subject to Motor Failure
International Journal of Control, Automation and Systems, 2023Shen Qu, G. Zhu, W. Su, S. Swei
semanticscholar +1 more source
LPV controller synthesis for a generic missile model
2010 IEEE International Conference on Control Applications, 2010The paper presents an example of a linear, parameter varying (LPV) controller synthesis for a generic nonlinear missile. It is based on obtaining a parameter dependent Ljapunov function, in order to ensure stability of the system. The LPV model of the missile is constructed by means of Jacobian linearization at fixed parameter values.
Pfifer, Harald, Hecker, Simon
openaire +2 more sources
Turbo-fan engine acceleration control schedule optimization based on DNN-LPV model
Aerospace Science and Technology, 2022Ziyu Gu +4 more
semanticscholar +1 more source
LPV Model Identification using Blended Linear Models with given Weightings
IFAC Proceedings Volumes, 2009Nonlinear process identification is studied. In model identification, a linear parameter varying (LPV) model is used and it consists of weighted local linear models. In this work, predetermined weighting functions are used and the LPV model identification becomes a linear identification problem with multiple weighted input data sets.
Zhu, Y., Ji, G.
openaire +2 more sources
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 ...
openaire +1 more source