Results 161 to 170 of about 33,766 (216)
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Smooth switching LPV controller design for LPV systems
Automatica, 2014zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masih Hanifzadegan, Ryozo Nagamune
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GPC-LPV: a predictive LPV controller based on BMIs
Proceedings of the 44th IEEE Conference on Decision and Control, 2006In this paper the authors present a predictive linear parameter varying (LPV) controller based on the GPC controller [1]–[3], for nonlinear systems. The resulting controller is denoted as GPC-LPV. This one has the same structure as a general LPV controller [4]–[7], which has a lineal fractional dependence on the process signal measurements.
José Vicente Salcedo +3 more
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Interpolated Modeling of LPV Systems
IEEE Transactions on Control Systems Technology, 2014This paper presents a new state-space model interpolation of local estimates technique to compute linear parameter-varying (LPV) models for parameter-dependent systems using a set of linear time-invariant models obtained for fixed operating conditions.
Jan De Caigny +3 more
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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.
Mazen Farhood, Geir E. Dullerud
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42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2004
We study in this paper the static state-feedback stabilization of linear finite dimensional systems depending polynomially upon a finite set of real, bounded, parameters. These parameters are a priori unknown, but available in real-time for control. We state two main results.
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We study in this paper the static state-feedback stabilization of linear finite dimensional systems depending polynomially upon a finite set of real, bounded, parameters. These parameters are a priori unknown, but available in real-time for control. We state two main results.
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Transient shaping of LPV systems
2001 European Control Conference (ECC), 2001The objective of this work is to solve the problem of fast dynamics which appears in the synthesis of LPV controllers using a single quadratic Lyapunov function. This can be a serious problem for controller implementation or computer simulation. The solution is achieved by means of an extra LMI added to the set of LMI's used to design the controller ...
Alejandro Simon Ghersin +1 more
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2001 European Control Conference (ECC), 2001
We face the problem of stabilizing Linear Parameter Varying systems by means of Gain Scheduling Control. This technique consists on designing a controller which is able to update its parameters on-line according to the variations of the plant parameters.
Franco Bianchini, Stefano Miani
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We face the problem of stabilizing Linear Parameter Varying systems by means of Gain Scheduling Control. This technique consists on designing a controller which is able to update its parameters on-line according to the variations of the plant parameters.
Franco Bianchini, Stefano Miani
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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 ...
Mustapha Ait Rami +3 more
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LPV Modelling and Identification: An Overview
2013The current state-of-the-art in the fields of control-oriented LPV modelling and LPV system identification is surveyed and the potential synergies between the two research areas are highlighted and discussed. Indeed, a number of methods and tools for the development of LPV models from nonlinear systems and for the identification of black-box LPV models
Lovera, Marco +2 more
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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), 2016In 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 +2 more
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