Results 21 to 30 of about 772,875 (164)

Two-Degree-of-Freedom Controller Design Based on a Data-Driven Estimation Approach

IEEE Access, 2022
Data-driven control design is a method to create and tune controllers directly from the initial experimental data without a mathematical model to be controlled. Tracking and disturbance suppression are necessary to control real systems.
Tatsunari Sakai, Shuichi Yahagi, Itsuro Kajiwara   +2 more
doaj   +1 more source

Adversarial Attacks to Direct Data-Driven Control for Destabilization

2023 62nd IEEE Conference on Decision and Control (CDC), 2023
6 ...
openaire   +2 more sources

pyvrft: A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method

SoftwareX, 2020
In this paper, the pyvrft, a Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT), is presented. Virtual Reference Feedback Tuning is a control design technique that does not use a mathematical model from ...
Emerson Boeira, Diego Eckhard
doaj   +1 more source

Direct Sampling for Spatially Variable Extreme Event Generation in Resampling‐Based Stochastic Weather Generators

Journal of Advances in Modeling Earth Systems, 2023
Resampling‐based weather generators simulate new time series of weather variables by reordering the observed values such that the statistics of the simulated data are consistent with the observed ones.
Jorge Guevara, Maria Garcia, Priscilla Avegliano, Debora Lima, Dilermando Queiroz, Maysa Macedo, Leonardo Tizzei, Daniela Szwarcman, Bianca Zadrozny, Campbell Watson, Anne Jones   +10 more
doaj   +1 more source

Direct data‐driven design of switching controllers

International Journal of Robust and Nonlinear Control, 2019
SummarySwitching linear models can be used to represent the behavior of hybrid, time‐varying, and nonlinear systems, while generally providing a satisfactory trade‐off between accuracy and complexity. Although several control design techniques are available for such models, the effect of modeling errors on the closed‐loop performance has not been ...
Breschi V., Formentin S.
openaire   +3 more sources

Optimal Data-Driven Control of an LCC HVDC System for Real-Time Grid Frequency Regulation

IEEE Access, 2020
Recent advances in data sensing and processing technologies enable data-driven control of high-voltage direct-current (HVDC) systems for improving the operational stability of interfacing power grids.
Do-Hoon Kwon, Young-Jin Kim
doaj   +1 more source

Direct data-driven LPV control of nonlinear systems: An experimental result

IFAC-PapersOnLine, 2023
We demonstrate that direct data-driven control of nonlinear systems can be successfully accomplished via a behavioral approach that builds on a Linear Parameter-Varying (LPV) system concept. An LPV data-driven representation is used as a surrogate LPV form of the data-driven representation of the original nonlinear system.
Verhoek, C., Abbas, H.S., Tóth, Roland
openaire   +3 more sources

Data-Driven Digital Direct Position Servo Control by Neural Network With Implicit Optimal Control Law Learned From Discrete Optimal Position Tracking Data

IEEE Access, 2019
To get better control performance in motor control, more and more researches tend to apply non-linear control laws in the field of motor control. However, most conventional non-linear control theory is based on explicit model of controlled object and ...
Baochao Wang, Cheng Liu, Sainan Chen, Shili Dong, Jianhui Hu   +4 more
doaj   +1 more source

Data-driven control of nonlinear systems: An on-line direct approach [PDF]

Automatica, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marko Tanaskovic, Lorenzo Fagiano, Carlo Novara, Manfred Morari   +3 more
openaire   +3 more sources

Auto-tuning of reference models in direct data-driven control

Automatica, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Masti, Daniele, Breschi, Valentina, Formentin, Simone, Bemporad, Alberto   +3 more
openaire   +2 more sources