Results 1 to 10 of about 8,961 (241)
Data-Driven Predictive Control of Exoskeleton for Hand Rehabilitation with Subspace Identification [PDF]
Sensors, 2022 This study proposed a control method, a data-driven predictive control (DDPC), for the hand exoskeleton used for active, passive, and resistive rehabilitation. DDPC is a model-free approach based on past system data.
Erkan Kaplanoglu, Gazi Akgun
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On subspace system identification methods [PDF]
Modeling, Identification and Control, 2022 An open and closed loop subspace system identification algorithm DSRe is compared to competitive open loop algorithms, DSR, and N4SID. Additionally, DSRe is compared vs the optimal Prediction Error Method (PEM).
Christer Dalen, David Di Ruscio
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Closed Loop Subspace Identification [PDF]
Modeling, Identification and Control, 2005 A new three step closed loop subspace identifications algorithm based on an already existing algorithm and the Kalman filter properties is presented. The Kalman filter contains noise free states which implies that the states and innovation are uneorre ...
Geir W. Nilsen, David Di Ruscio
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Subspace-Based Identification of Nonlinear Structures [PDF]
Shock and Vibration, 2008 Conventional linear estimators give results contaminated in presence of nonlinearities and the extraction of underlying linear system properties is thus difficult. To overcome this problem, the implementation of a recently developed method, called Nonlinear Subspace Identification (NSI), is considered in this paper, by using the perspective of ...
S. Marchesiello, L. Garibaldi
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Subspace system identification
Iranian Journal of Electrical and Electronic Engineering, 2005 We give a general overview of the state-of-the-art in subspace system identification methods. We have restricted ourselves to the most important ideas and developments since the methods appeared in the late eighties.
J. Poshtan, H. Mojallali
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Robust subspace structure discovery for cell type identification in scRNA-seq data [PDF]
BMC BioinformaticsSingle-cell RNA sequencing (scRNA-seq) technology has transformed gene expression studies by enabling analysis at the individual cell level, offering unprecedented insights into cellular heterogeneity.
Xianyong Zhou +6 more
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Hyperspectral Subspace Identification [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2008 Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage.
Bioucas-Dias, José M., Nascimento, Jose
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Applied Sciences, 2022 As one of the most catastrophic natural disasters worldwide, earthquakes and their effect on structures are very important to structural health monitoring (SHM), particularly for the ones living around the Pacific ring of fire.
Shieh-Kung Huang +2 more
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Comparing Subspace Methods for Closed Loop Subspace System Identification by Monte Carlo Simulations [PDF]
Modeling, Identification and Control, 2009 A novel promising bootstrap subspace system identification algorithm for both open and closed loop systems is presented. An outline of the SSARX algorithm by Jansson (2003) is given and a modified SSARX algorithm is presented.
David Di Ruscio
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Applied Sciences, 2020 Subspace system identification is a class of methods to estimate state-space model based on low rank characteristic of a system. State-space-based subspace system identification is the dominant subspace method for system identification in health ...
Hoofar Shokravi +4 more
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