Results 151 to 160 of about 3,129 (185)

A Model Decomposition Framework for LPV Systems

2018 IEEE Conference on Decision and Control (CDC), 2018
The paper proposes a systematic framework for efficient decomposition of Linear Parameter Varying (LPV) systems. Our aim is to reveal the topological structure of the system, to facilitate various analysis and synthesis methods. For this purpose, first we extend the notion of Gramian based interaction measure for parameter dependent systems.
Tamás Luspay, Tamas Peni, Peter J. Seiler, Bálint Vanek   +3 more
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Stable controller interpolation for LPV systems

2008 American Control Conference, 2008
This paper examines the gain-scheduling problem with a particular focus on controller interpolation with guaranteed nonlinear stability. For linear parameter varying model representations, a method of interpolating between controllers utilizing the Youla parameterization is proposed.
Young Joon Chang, Bryan P. Rasmussen
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Model reference control of LPV systems

Journal of the Franklin Institute, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ali Abdullah, Mohamed Zribi
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Failure detection for quasi LPV systems

Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003
By using the concept of parameter varying (CA)invariant subspace and parameter varying unobservability subspace, this paper investigates the problem of fault detection and isolation for quasi linear parameter varying (qLPV) systems. The so called detection filters approach, formulated as the fundamental problem of residual generation (FPRG) for linear ...
József Bokor, Zoltán Szabó 0002, Gábor Stikkel   +2 more
openaire   +1 more source

LPV decoupling for control of multivariable systems

International Journal of Control, 2011
This article investigates methods for decoupling multivariable linear parameter varying (LPV) systems and proposes a new interaction measure for decoupled proportional-integral (PI) feedback control design in LPV systems. The proposed approach seeks to benefit the multivariable control of multi-input multi-output (MIMO) systems with variable operating ...
Javad Mohammadpour, Karolos M. Grigoriadis, Matthew A. Franchek, Yue-Yun Wang, Ibrahim Haskara   +4 more
openaire   +1 more source

On the model reduction of nonstationary LPV systems

Proceedings of the 2003 American Control Conference, 2003., 2004
In 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, Carolyn L. Beck, Geir E. Dullerud   +2 more
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On applicability of LPV tools for bilinear systems

2011 9th IEEE International Conference on Control and Automation (ICCA), 2011
In linear parameter varying (LPV) systems, the relations between signals are considered to be linear, but the model parameters are assumed to be functions of time-varying signals. It has been claimed in the literature that as a result of this parameter variation, the class of LPV systems may describe both time-varying and nonlinear phenomena.
Juri Belikov, Ülle Kotta, Maris Tõnso
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LPV identification of a heat distribution system

2010 IEEE International Conference on Control Applications, 2010
This paper deals with incremental system identification of district heating systems to improve control performance. As long as various parameters, e.g. valve settings, are kept fixed, the dynamics of district heating systems can be approximated well by linear models; however, the dynamics change significantly when these parameters change.
Klaus Trangbaek, Jan Dimon Bendtsen
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LPV modelling and LPV observer-based fault detection for wind turbine systems

2016 IEEE 14th International Conference on Industrial Informatics (INDIN), 2016
In this paper, linear parameter varying (LPV) modelling technique is addressed for modelling a wind turbine system, with real-time changing scheduling parameters. Based on the LPV wind turbine model, a LPV observer-based fault detection method is utilized to detect faults under four scenarios.
Hui Shao, Zhiwei Gao 0001, Krishna Busawon   +2 more
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Control of LPV Systems

2014
This chapter is devoted to the development of control-laws for linear parameter-varying systems. The LPV framework allows for an easy design of gain-scheduled controllers, that is, controllers whose state-space structure depends on the value of the parameters thereby used as scheduling variables.
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