Results 71 to 80 of about 1,084,598 (183)

Direct Data-Driven Control of Cavity Tuners in Particle Accelerators

, 2018
X-Ray Free Electron Lasers (XFELs) are the next generation of X-rays sources delivering dramatical improvements over synchrotron radiation in terms of brilliance, pulse length and coherence.
A. Zanchettin, S. Formentin, Riccardo Loddo, R. Paparella   +3 more
semanticscholar   +1 more source

On the Equivalence of Direct and Indirect Data-Driven Predictive Control Approaches

IEEE Control Systems Letters
Recently, several direct Data-Driven Predictive Control (DDPC) methods have been proposed, advocating the possibility of designing predictive controllers from historical input-output trajectories without the need to identify a model. In this work, we show that these approaches are equivalent to an indirect approach.
Per Mattsson, Fabio Bonassi, Valentina Breschi, Thomas B. Schön   +3 more
openaire   +2 more sources

Bridging prediction and decision: Advances and challenges in data-driven optimization

Nexus
Data-driven approaches have revolutionized traditional optimization methods by integrating prediction with decision-making. This review examines the theoretical foundations, strengths, recent advancements, and limitations of three key methods—sequential ...
Yanzhi Wang, Jianxiao Wang, Haoran Zhang, Jie Song   +3 more
doaj   +1 more source

Response-Driven Optimal Emergency Control of Power Systems via Deep Learning-Based Sensitivity Embedded Optimization

Energies
The transition towards high-renewable power systems introduces high-dimensional nonlinearity and uncertainty, rendering traditional offline look-up table schemes prone to control mismatch against “unseen” contingencies.
Lin Cheng, Han Wang, Yiwei Su, Gengfeng Li   +3 more
doaj   +1 more source

A Review of Data-Model Hybrid-Driven Early Warning Research for Wideband Oscillation Risks in Power Systems

Applied Sciences
The problem of power system oscillation stability has become more and more prominent in the context of a high proportion of new energy sources and the gradual increase in power electronic devices.
Hong Fan, Mingze Sun
doaj   +1 more source

Direct data-driven filter design for automotive controlled suspensions

2009 European Control Conference (ECC), 2009
This paper investigates the filter design problem for automotive controlled suspensions when no mathematical model of the system is available, but a set of initial experiments can be performed, where also the variable to be estimated is measured.
RUIZ F, TARAGNA, MICHELE, MILANESE, Mario   +2 more
openaire   +2 more sources

PPMLM direct thrust force control based on iterative learning high‐order improved model free adaptive control

IET Renewable Power Generation
A high‐order improved model free adaptive control method based on iterative learning is designed to address the problem that primary permanent magnet linear motor has poor control performance, susceptibilities to load disturbances and other nonlinear ...
Xiuping Wang, Shunyu Yao, Chunyu Qu
doaj   +1 more source

Hybrid Feature Selection Approach to Finding Optimal Feature Subsets for Vehicle Lateral Velocity Estimation

IEEE Access
This study develops a methodology that estimates the lateral velocity of vehicles by integrating an artificial neural network (ANN) with physics for optimal feature selection.
Gyu-Yong Hwang, Min-Sang Seong, Chul Hee Han, Jong-Seok Oh   +3 more
doaj   +1 more source

An introductory survey of probability density function control

Systems Science & Control Engineering, 2019
Probability density function (PDF) control strategy investigates the controller design approaches where the random variables for the stochastic processes were adjusted to follow the desirable distributions. In other words, the shape of the system PDF can
Mifeng Ren, Qichun Zhang, Jianhua Zhang
doaj   +1 more source

ESO-Based Direct Model-Free Adaptive Predictive Compensation Control for Permanent Magnet Synchronous Motors

IEEE Access
For a class of permanent magnet synchronous motors (PMSM) characterized by strong coupling, significant nonlinearity, load uncertainties, and external disturbances, this paper investigates an extended state observer-based direct model-free adaptive ...
Yang Liu, Guangxu Zhou, Lei Guo, Zibo Sun   +3 more
doaj   +1 more source