Results 61 to 70 of about 2,620,504 (318)
Dictionary Learning-Based Data Pruning for System Identification
Applied SciencesIn 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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IEEE 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
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Identification of Wiener Systems with Recursive Gauss-Seidel Algorithm
Elektronika 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
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Simple refined IV methods of closed-loop system identification
, 2016 The paper describes a simple, two-stage instrumental variable method of closed loop identification and estimation. This can be used with both continuous and discrete-time transfer function models and the enclosed system can be unstable.
Young, Peter C, Garnier , H., Gilson, M.
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
A Novel Identification Method for a Class of Closed-Loop Systems Based on Basis Pursuit De-Noising
IEEE 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
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Identification of Block-oriented Systems Using the Invariance Property
, 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,
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A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
International Dental Journal, 1999 Osseointegrated oral implantology has become a widespread option of dental care. A universal system of implant identification is required to enable dentists, patients and participating third parties to accurately identify a particular implant and historically record and follow its bio-clinical status.
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On the Choice of Norms in System Identification
IFAC Proceedings Volumes, 1994 The authors discuss smooth and sensitive norms for prediction error system identification for a single-input/single-output, linear time-invariant, discrete-time system when the disturbances are magnitude bounded. They prove that the parameter estimate variance convergence rate with sensitive norms is arbitrarily bad for certain distributions, and that ...
Hüseyin Akçay +2 more
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