Results 51 to 60 of about 24,380,822 (306)
System Identification Methods for Industrial Control Systems
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
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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
System identification—originating in the 1950s from statistical theory—has since developed a wealth of algorithms, insights, and practical expertise.
Lily Chiparova, Vasil Popov
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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
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Identification of Wiener Systems with Recursive Gauss-Seidel Algorithm
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
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Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia
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
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
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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
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A Novel Identification Method for a Class of Closed-Loop Systems Based on Basis Pursuit De-Noising
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
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Identification of Block-oriented Systems Using the Invariance Property
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,
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