Results 131 to 140 of about 8,922,535 (177)
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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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Failure detection for quasi LPV systems
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003By 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 +2 more
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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 applicability of LPV tools for bilinear systems
2011 9th IEEE International Conference on Control and Automation (ICCA), 2011In 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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On Unknown Input Observers for LPV Systems
IEEE Transactions on Industrial Electronics, 2015This paper is dedicated to the design of unknown input (UI) observers for linear parameter-varying (LPV) systems using algebraic matrix manipulation. First, a discussion is provided concerning the classical design approach, which requires the matching condition. This condition is satisfied for a class of systems having relative degree 1.
Ichalal, Dalil, Mammar, Saïd
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LPV identification of a heat distribution system
2010 IEEE International Conference on Control Applications, 2010This 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 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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A Model Decomposition Framework for LPV Systems
2018 IEEE Conference on Decision and Control (CDC), 2018The 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 +3 more
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Stable controller interpolation for LPV systems
2008 American Control Conference, 2008This 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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