Results 131 to 140 of about 9,140 (183)
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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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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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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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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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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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Compact LFT-LPV modeling with automated parameterization for efficient LPV controller synthesis
2015 American Control Conference (ACC), 2015A systematic approach to the derivation of Linear Fractional Transformation (LFT)-based Linear Parameter-Varying (LPV) representations for descriptor systems is proposed. Explicit compact rational and affine representations with full non-square parameter blocks are formulated.
Hoffmann, Christian, Werner, Herbert
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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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LPV Controller Design for Diesel Engine SCR Aftertreatment Systems based on Quasi-LPV Models
2021 American Control Conference (ACC), 2021This letter presents linear parameter-varying (LPV) controller design for the urea-based selective catalytic reduction (SCR) system in diesel engines to reduce nitrogen oxides (NOX) and ammonia (NH3) emissions. Although such LPV SCR controller design has been previously developed, this letter extends it in various ways. The extension includes the usage
Jihoon Lim +2 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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State estimation for affine LPV systems
Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002In this paper, the design of a scheduled observer which allows to estimate the state of an affine LPV system is investigated. The state and the gain matrices of the observer are scheduled by using an interpolation method which is linear according to each parameter but which is nonlinear according to the parameter vector. The stability of the estimation
Bara, Iula +3 more
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