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Automated Generation and Assessment of Affine LPV Models

Proceedings of the 45th IEEE Conference on Decision and Control, 2006
LPV 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

LPV MODELING OF A TURBOFAN ENGINE

IFAC Proceedings Volumes, 2005
Abstract 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

A Robust MPC for Input-Output LPV Models

IEEE Transactions on Automatic Control, 2016
In this note, a discrete-time robust model predictive control (MPC) design approach is proposed to control systems described by linear parameter-varying models in input-output form subject to constraints. To ensure the stability of the closedloop system, a quadratic terminal cost along with an ellipsoidal terminal constraint are included in the control
Hossam S. Abbas   +4 more
openaire   +5 more sources

LPV controller synthesis for a generic missile model

2010 IEEE International Conference on Control Applications, 2010
The 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.
Harald Pfifer, Simon Hecker
openaire   +2 more sources

LPV models: Identification for gain scheduling control

2001 European Control Conference (ECC), 2001
In this paper the use of discrete-time Linear Parameter Varying (LPV) models for the gain scheduling control and identification methods for non-linear or time-varying system is considered. We report an overview on the existing literature on LPV systems for gain scheduling control and identification.
B. BAMIEH, GIARRÈ, Laura
openaire   +2 more sources

LPV Modeling of Clusters in Dynamic Power System Models

2019 IEEE Milan PowerTech, 2019
This paper presents a systematic approach for turning the external area of a nonlinear power system model into a set of linear parameter-varying (LPV) models. The aim is to extend the scope of linear input-output equivalencing techniques by including some tunable parameters.
Leung, Johnny   +3 more
openaire   +2 more sources

The significance of LPV modeling of a widely used T1DM model

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2013
The paper investigates the specificity of Linear Parameter Varying (LPV) modeling and robust controller design on a widely used Type 1 Diabetes Mellitus model. LPV systems can be seen as an extension of linear time invariant systems, which allows us to extend some powerful control methodologies to the highly nonlinear and uncertain models of the human ...
Szalay, Péter   +4 more
openaire   +2 more sources

Model reduction of distributed nonstationary LPV systems

European Journal of Control, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dany Abou Jaoude, Mazen Farhood
openaire   +3 more sources

Model selection: From LTI to switched-LPV

2012 American Control Conference (ACC), 2012
A practical problem for control engineers is the selection of the most adequate model of a physical plant in order to design a controller which should achieve a desired performance level. For this selection the required performance, the resulting model uncertainty and a well-established robust controller design methodology play important roles.
Ricardo S. Sánchez Peña   +1 more
openaire   +2 more sources

Experimental modelling and LPV control of a motion system

Proceedings of the 2003 American Control Conference, 2003., 2004
The objective of this paper is to show how experimentally based modelling can be used for designing Linear Parametrically Varying (LPV) controllers. As a test system we use an industrial pick and place unit with one linear X-drive and two independent linear Ydrives. The dynamics of the Y-axes depend on the Xposition.
Maarten Steinbuch   +2 more
openaire   +2 more sources

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