Results 171 to 180 of about 16,555 (219)
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CONTROLLABILITY OF BIMODAL LPV SYSTEMS
IFAC Proceedings Volumes, 2006Abstract This paper gives a self contained treatment of the controllability of bimodal LPV systems pointing to the relevant structures of the problem. The subsystems are supposed to be affine LPV systems. It is shown that for a certain class of bimodal systems controllability in case of closed-loop switching systems is equivalent with controllability
József Bokor +2 more
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LPV control active suspension system
2011 IEEE International Conference on Mechatronics, 2011The ℒ 2 gain control problem for disturbance attenuation in Linear Parameter Varying (LPV) Systems with saturating actuators has been addressed in this paper. The active suspension system which is used as a benchmark control problem is subjected to L2 disturbances and actuator saturation.
Ucun, Levent +3 more
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Stabilization of LPV positive systems
53rd IEEE Conference on Decision and Control, 2014This paper considers the stabilization issue for continuous-time linear parameter varying (LPV) positive systems. The time varying parameters are known and are modeled as belonging to the simplex set. The proposed stabilization approach relies on a parameter dependent Lyapunov function combined with a subtle choice of a slack variable that is not ...
M. Ait Rami +3 more
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Selbsteinstellender PI-Regler für LPV-Systeme (Self-scheduled PI-controller for LPV-Systems)
auto, 2001In diesem Artikel wird eine Strategie zur Regelung von linearen parameterveränderlichen (LPV-) Systemen mittels selbsteinstellender PI-Regelung vorgestellt. Dabei verändern sich die Reglerverstärkungen des PI-Reglers in Abhängigkeit vom aktuellen Zustand der Regelstrecke.
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Control of nonstationary LPV systems
Proceedings of the 40th IEEE Conference on Decision and Control (Cat. No.01CH37228), 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Farhood, Mazen, Dullerud, Geir E.
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2014
The goal of this chapter is to introduce the main ways for representing linear parameter-varying systems and emphasize their ability to represent a wide class of dynamical systems. A classification of the types of parameters regarding their mathematical properties and their physical meaning is also given.
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The goal of this chapter is to introduce the main ways for representing linear parameter-varying systems and emphasize their ability to represent a wide class of dynamical systems. A classification of the types of parameters regarding their mathematical properties and their physical meaning is also given.
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2014
This chapter first presents the main stability and instability results for general dynamical systems. These results are then further adapted to the analysis of linear parameter-varying systems in the generic, polytopic and LFT frameworks. Notably, the notions of quadratic and robust stability using quadratic Lyapunov functions are introduced.
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This chapter first presents the main stability and instability results for general dynamical systems. These results are then further adapted to the analysis of linear parameter-varying systems in the generic, polytopic and LFT frameworks. Notably, the notions of quadratic and robust stability using quadratic Lyapunov functions are introduced.
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LPV Error System Modeling for Nonlinear Systems
IFAC Proceedings Volumes, 2011Abstract This paper proposes an error system modeling between a real plant and a model which may be derived by physical modeling. The error system is expected to be used to re ne the model accuracy for dynamics of a real plant. It is shown that the error system can be represented as a LPV(Linear Parameter Varying) system by some approximation ...
Masaki Kanai, Masaki Yamakita
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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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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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2016
LPV control synthesis is a controller design approach based on either LPV or LPV LFT which yields parameter-dependent controllers with a priori guaranteed stability and performance properties.
Péter Gáspár +3 more
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LPV control synthesis is a controller design approach based on either LPV or LPV LFT which yields parameter-dependent controllers with a priori guaranteed stability and performance properties.
Péter Gáspár +3 more
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