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LPV model identification of an EVVT system
2015 American Control Conference (ACC), 2015In this paper, a family of discrete-time system models of an Electric Variable Valve Timing (EVVT) actuator for internal combustion engines under different operational conditions were obtained through the closed-loop system identification, where the complicated EVVT actuating system was treated as a black box.
Jie J. Yang +3 more
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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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Predictive control for constrained LPV systems
2001 European Control Conference (ECC), 2001This paper addresses predictive control of constrained LPV systems. The objective is to optimize nominal performance while guaranteeing robust stability and constraint satisfaction. The latter goal is achieved by exploiting invariant sets and a receding horizon optimization procedure which provides a nonlinear correction to the nominal gain scheduled ...
Luigi Chisci +2 more
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Performance of LPV gain-scheduled systems
2006 American Control Conference, 2006The design of nonlinear gain-scheduled controllers using linear parameter varying (LPV) systems methodology has seen a lot of development. It is known that when the LPV plant model is obtained using linearization, extra care must be taken when implementing the gain-scheduled controller from the designed LPV controller in order to guarantee stability ...
Charudatta S. Mehendale +1 more
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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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Robust control of decomposable LPV systems
Automatica, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Annika Eichler +2 more
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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
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Robust and LPV control of an AMB system
Proceedings of the 2010 American Control Conference, 2010Active magnetic bearing spindles are predominantly subject to periodic disturbances due to an unbalanced mass. The frequency of these disturbances is known to be same as the operational (rotational) speed. LTI controllers provide for good disturbance attenuation only in very limited circumstances, i.e., when the operational speed is fixed or is very ...
Jasper Witte +2 more
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