Results 141 to 150 of about 3,129 (185)
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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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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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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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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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Probabilistic design of LPV control systems
Automatica, 2003A gradient-based randomized algorithm is proposed for the design of linear parameter-varying control systems. The convergence with probability one in a finite number of steps is shown. Some numerical examples are given.
Fujisaki Y, Dabbene F, Tempo R
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Sliding mode control for LPV systems
2016 American Control Conference (ACC), 2016LPV models are extremely appealing, as they allow describing the dynamics of many physical systems that are of interest in various engineering applications. For such systems, dedicated control approaches have been proposed, which rely on the measurement of the scheduling variables and exploit such information for improving the closed-loop performance ...
Mara Tanelli +3 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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2016
In general terms, control theory can be described as the study of how to design the process of influencing the behavior of a physical system to achieve a desired goal.
Péter Gáspár +3 more
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In general terms, control theory can be described as the study of how to design the process of influencing the behavior of a physical system to achieve a desired goal.
Péter Gáspár +3 more
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