Results 261 to 270 of about 2,570,203 (288)

Direct Data-Driven Vibration Control for Adaptive Optics

2023 62nd IEEE Conference on Decision and Control (CDC), 2023
Adaptive optics (AO) systems are used in ground-based telescopes to improve image resolutions, especially for long-exposure photography, by compensating for the effects of atmospheric turbulence and internal vibrations. Most current AO systems are based on simple control laws that either neglect the temporal correlation in atmospheric turbulence, use a
Gupta, Vaibhav, Karimi, Alireza, Wildi, François, Véran, Jean-Pierre   +3 more
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Optimal direct data-driven control with stability guarantees

European Journal of Control, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Selvi D., Piga D., Battistelli G., Bemporad A.   +3 more
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Direct data‐driven control of linear time‐delay systems

Asian Journal of Control, 2011
AbstractThis paper presents an extension of the Virtual Reference Feedback Tuning (VRFT) methodology dedicated to linear time‐delay systems with known delay and unknown dynamics. The standard VRFT is not well suited for systems with dominant time‐delay as it yields high order controllers.
FORMENTIN, SIMONE, CORNO, MATTEO, SAVARESI, SERGIO MATTEO, L. Del Re   +3 more
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Direct data-driven design of sparse controllers

2013 American Control Conference, 2013
This paper deals with direct data-driven design of model-reference controllers whose number of parameters is constrained. Input-output (I/O) sparse controllers are introduced and proposed as an alternative to low-order controller tuning. The optimal I/O sparse controller is shown to be never worse than the optimal low-order controller with the same ...
FORMENTIN, SIMONE, Alireza Karimi
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On identification methods for direct data‐driven controller tuning

International Journal of Adaptive Control and Signal Processing, 2010
AbstractIn non‐iterative data‐driven controller tuning, a set of measured input/output data of the plant is used directly to identify the optimal controller that minimizes some control criterion. This approach allows the design of fixed‐order controllers, but leads to an identification problem where the input is affected by noise, and not the output as
van Heusden, Klaske, Karimi, Alireza, Söderström, Torsten   +2 more
openaire   +1 more source

Direct data-driven control of a Diesel engine airpath

2012 American Control Conference (ACC), 2012
In this paper, the direct data-driven design method introduced in [6] is applied to the airpath control problem in turbocharged Diesel engines. The method allows the employed fixed-order multivariable controller to be tuned without need of mathematically describing the system, thus avoiding the problem of dynamic undermodeling.
FORMENTIN, SIMONE, M. Hirsch, SAVARESI, SERGIO MATTEO, L. Del Re   +3 more
openaire   +2 more sources

Direct data-driven design of switching controllers for constrained systems

2021 American Control Conference (ACC), 2021
This paper presents a hierarchical structure to directly design controllers for (possibly nonlinear) constrained systems. The proposed architecture combines the advantages of an inner data-driven switching controller designed to achieve a predefined closed-loop behavior and an outer model predictive controller, which is used as a reference governor ...
Sassella A., Breschi V., Formentin S.
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Direct data-driven recursive controller unfalsification with analytic update

Automatica, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Helvoort, van, J.J.M., de Jager, Bram, Steinbuch, M.   +2 more
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Data-Driven Direct Adaptive Risk-Sensitive Control of Stochastic Systems

Journal of Systems Science and Complexity
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qiao, Nan, Li, Tao
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Robust direct data‐driven controller tuning with an application to vehicle stability control

International Journal of Robust and Nonlinear Control, 2017
SummaryIn direct data‐driven controller tuning, a mathematical model of the plant is not needed, as the control law is directly derived from experimental data. Because the most widely used data‐driven techniques are based on the assumption that the underlying dynamics – albeit unknow – is linear, the performance of the resulting controller may not be ...
FORMENTIN, SIMONE, GARATTI, SIMONE, RALLO, GIANMARCO, SAVARESI, SERGIO MATTEO   +3 more
openaire   +3 more sources