Results 81 to 90 of about 24,564,249 (381)
Response analysis of non-Gaussian randomly excited systems via minimum cross entropy method
Nihon Kikai Gakkai ronbunshu, 2016 A method based on the minimum cross entropy principle is presented for obtaining approximately the response distributions of nonlinear systems subjected to non-Gaussian random excitation.
Takahiro TSUCHIDA, Koji KIMURA
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Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose Lattice radiation therapy (LRT) is a form of spatially fractionated radiation therapy that allows increased total dose delivery aiming for improved treatment response without an increase in toxicities, commonly utilized for palliation of bulky tumors.
Libing Zhu +9 more
wiley +1 more source
Fusion Particle Filter for Nonlinear Systems Based on Segmental Gauss-Hermite Approximation
IEEE Access, 2020 Multisensor fusion estimators play an important role in modern information processing. Weighted measurement fusion (WMF) algorithm has widely been applied to data compression of multisensor linear systems.
Yun Li
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Unsupervised Regression with Applications to Nonlinear System Identification [PDF]
, 2007 We derive a cost functional for estimating the relationship between high-dimensional observations and the low-dimensional process that generated them with no input-output examples.
Rahimi, Ali, Recht, Ben
core
SARS‐CoV‐2 Is Linked to Brain Volume Loss in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The impact of SARS‐CoV‐2 infection on brain and spinal cord pathology in patients with multiple sclerosis (pwMS) remains unclear. We aimed to describe changes in brain lesion activity and brain and spinal cord volumes following SARS‐CoV‐2 infection.
Tomas Uher +12 more
wiley +1 more source
Nonlinear autoregressive moving average-L2 model based adaptive control of nonlinear arm nerve simulator system [PDF]
, 2020 This paper considers the trouble of the usage of approximate strategies for realizing the neural controllers for nonlinear SISO systems. In this paper, we introduce the nonlinear autoregressive moving average (NARMA-L2) model which might be ...
Jibril, Mustefa
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Stage‐Dependent Inhibitory Connectivity in Striatal‐Motor Circuit in Huntington's Disease
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Elucidating dysfunctional connectivity patterns among key brain regions in Huntington's disease (HD) underlying progression may have implications for developing treatment and therapeutic evaluation. Objective Explore the relationship between abnormal spontaneous resting‐state activity and atrophy in HD‐specific brain regions and ...
Yinghua Jing +4 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The characteristics and utility of composite progression independent of relapse activity (cPIRA; worsening on the Expanded Disability Status Scale [EDSS], or 9‐Hole Peg Test, or Timed 25‐Foot Walk Test) were evaluated as an endpoint in relapsing multiple sclerosis (RMS) trials using the ENSEMBLE (NCT03085810) and pooled OPERA I/II ...
Ludwig Kappos +11 more
wiley +1 more source
IEEE Access, 2019 This paper presents a practical control strategy for motion control of a pneumatic muscle actuated the system. Pneumatic artificial muscle (PAM) exhibits strong nonlinear characteristics which are difficult to be modeled precisely, and these ...
T. F. Tang +3 more
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Stabilisation strategy based on feedback linearisation for DC microgrid with multi-converter
The Journal of Engineering, 2019 Power electronic converters have been widely used in power system and the stability issues of DC microgrid with converters will be discussed in this study. Firstly, an equivalent circuit and the corresponding state space model for DC microgrid with DC–DC
Xuanying Shao, Jian Hu, Zhongtian Zhao
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