Results 51 to 60 of about 24,380,822 (306)

System Identification Methods for Industrial Control Systems

open access: yes, 2022
System identification is a process of creating a mathematical model of a system from its external observations (inputs and outputs). The concept of discovering models from data is trivial in science and engineering fields.
Hussain, M, Jadidi, Z, Foo, E, Fidge, C
core   +1 more source

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann   +8 more
wiley   +1 more source

Kolmogorov–Arnold Networks for System Identification of First- and Second-Order Dynamic Systems

open access: yesEngineering Proceedings
System identification—originating in the 1950s from statistical theory—has since developed a wealth of algorithms, insights, and practical expertise.
Lily Chiparova, Vasil Popov
doaj   +1 more source

Identification of In-Flight Wingtip Folding Effects on the Roll Characteristics of a Flexible Aircraft

open access: yesAerospace, 2019
Wingtip folding is a means by which an aircraft’s wingspan can be extended, allowing designers to take advantage of the associated reduction in induced drag.
Gaétan Dussart   +2 more
doaj   +1 more source

Identification of Wiener Systems with Recursive Gauss-Seidel Algorithm

open access: yesElektronika ir Elektrotechnika, 2023
The Recursive Gauss-Seidel (RGS) algorithm is presented that is implemented in a one-step Gauss-Seidel iteration for the identification of Wiener output error systems.
Metin Hatun
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari   +5 more
wiley   +1 more source

Dictionary Learning-Based Data Pruning for System Identification

open access: yesApplied Sciences
In system identification, augmenting time series data via time shifting and nonlinearisation can lead to both feature and sample redundancy. However, research has mainly focused on feature redundancy while largely ignoring the issue of sample redundancy.
Tingna Wang   +3 more
doaj   +1 more source

Orthogonal Least Squares Based Incremental Echo State Networks for Nonlinear Time Series Data Analysis

open access: yesIEEE Access, 2019
This paper develops an incremental randomized learning method for an extended Echo State Network (φ-ESN), which has a reservoir with random static projection, to better cope with non-linear time series data modelling problems. Although the typical
Qian Zhang, Xiaojie Zhou, Jian Tang
doaj   +1 more source

A Novel Identification Method for a Class of Closed-Loop Systems Based on Basis Pursuit De-Noising

open access: yesIEEE Access, 2020
This paper presents a novel method to identify a class of closed-loop systems, in which both the forward channel and the feedback channel have unknown time-delays.
Ying Chen   +3 more
doaj   +1 more source

Identification of Block-oriented Systems Using the Invariance Property

open access: yes, 2010
Block-oriented Nonlinear System Identification deals with an area of research that has been very active since the turn of the millennium. The book makes a pedagogical and cohesive presentation of the methods developed in that time.
Martin Enqvist, Enqvist, Martin,
core   +1 more source

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