Results 41 to 50 of about 3,837,082 (288)

Generalized Data–Driven Predictive Control: Merging Subspace and Hankel Predictors

open access: yesMathematics, 2023
Data–driven predictive control (DPC) is becoming an attractive alternative to model predictive control as it requires less system knowledge for implementation and reliable data is increasingly available in smart engineering systems.
M. Lazar, P. C. N. Verheijen
doaj   +1 more source

Data-Driven Power Control for State Estimation: A Bayesian Inference Approach

open access: yes, 2015
We consider sensor transmission power control for state estimation, using a Bayesian inference approach. A sensor node sends its local state estimate to a remote estimator over an unreliable wireless communication channel with random data packet drops ...
Lau, Vincent   +4 more
core   +2 more sources

An Extended Kalman Filter for Data-enabled Predictive Control

open access: yes, 2020
The literature dealing with data-driven analysis and control problems has significantly grown in the recent years. Most of the recent literature deals with linear time-invariant systems in which the uncertainty (if any) is assumed to be deterministic and
Alpago, Daniele   +2 more
core   +1 more source

Achieving the Dispatchability of Distribution Feeders through Prosumers Data Driven Forecasting and Model Predictive Control of Electrochemical Storage [PDF]

open access: yes, 2016
We propose and experimentally validate a control strategy to dispatch the operation of a distribution feeder interfacing heterogeneous prosumers by using a grid-connected battery energy storage system (BESS) as a controllable element coupled with a ...
Cherkaoui, Rachid   +3 more
core   +4 more sources

Data-driven simulation and control [PDF]

open access: yesInternational Journal of Control, 2008
Classical linear time-invariant system simulation methods are based on a transfer function, impulse response, or input/state/output representation. We present a method for computing the response of a system to a given input and initial conditions directly from a trajectory of the system, without explicitly identifying the system from the data ...
Markovsky, Ivan, Rapisarda, Paolo
openaire   +3 more sources

COVID‐19 in cancer patients: The impact of vaccination on outcomes early in the pandemic

open access: yesCancer Medicine, 2023
Background With the rapid evolution of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic, the development of effective and safe vaccines was of utmost importance to protect vulnerable individuals, including cancer patients ...
Fareed Khawaja   +10 more
doaj   +1 more source

Noniterative Data-Driven Gain-Scheduled Controller Design Based on Fictitious Reference Signal

open access: yesIEEE Access, 2023
This paper proposes a noniterative direct data-driven gain-scheduled control. Gain-scheduled proportional–integral–derivative (PID) control is one of the most popular approaches for nonlinear systems.
Shuichi Yahagi, Itsuro Kajiwara
doaj   +1 more source

Data-Driven Dynamic Event-Triggered Control

open access: yesIEEE Transactions on Automatic Control
This paper revisits the event-triggered control problem from a data-driven perspective, where unknown continuous-time linear systems subject to disturbances are taken into account. Using data information collected off-line instead of accurate system model information, a data-driven dynamic event-triggered control scheme is developed in this paper.
Tao Xu   +3 more
openaire   +3 more sources

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale   +6 more
wiley   +1 more source

Non-Iterative Data-Driven Tuning of Model-Free Control Based on an Ultra-Local Model

open access: yesIEEE Access, 2022
In this paper, we present a data-driven tuning method for model-free control based on an ultra-local model (MFC-ULM), which is also called intelligent proportional-integral-derivative control.
Shuichi Yahagi, Itsuro Kajiwara
doaj   +1 more source

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