Results 21 to 30 of about 7,310,503 (245)
Mathematics, 2021 The extended dynamic mode decomposition algorithm is a tool for accurately approximating the point spectrum of the Koopman operator. This algorithm provides an approximate linear expansion of non-linear discrete-time systems, which can be useful for ...
Camilo Garcia-Tenorio +3 more
doaj +1 more source
A New Computational Method for Optimal Control Problem with B-spline Polynomials [PDF]
Engineering and Technology Journal, 2010 The main purpose of this work is to propose direct method which is employedby using state vector parameterization (SVP) to convert the quadratic optimal controlproblems into quadratic programming problem.
Suha N. Al-Rawi +2 more
doaj +1 more source
Approximation by interpolation operators with piecewise polynomial basis functions
Demonstratio MathematicaThis paper focuses on approximation by interpolation operators with piecewise polynomial basis functions. It first shows that the interpolation operator introduced by Zhan, Huang and Liu (A class of interpolation basis functions with excellent properties,
Mei Ying, Yu Dansheng
doaj +1 more source
Practical identification of NARMAX models using radial basis functions [PDF]
, 1990 A wide class of discrete time non-linear systems can be represented by the non-linear autoregressive moving average model with exogenous inputs or NARMAX model. This paper develops a practical algorithm for identifying NARMAX models based on radial basis
Billings, S.A. +6 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller +14 more
wiley +1 more source
Engineering Reports, 2019 Radial basis functions (RBFs), first proposed for interpolation of scattered data, have gotten the scientific community interest in the past two decades, with applications ranging from interpolation with the dual reciprocity approach of the boundary ...
Fernando César Meira Menandro
doaj +1 more source
T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ±
Sarah J. Wright +10 more
wiley +1 more source
Iraqi Journal of Civil EngineeringThin plate bending analysis is an important research subject due to the extensive use of plates in the different fields of engineering and the need for accurate solutions. This article uses the Ritz variational method and a superposition of trigonometric
Charles Chinwuba Ike
doaj +1 more source
Local fitting with a power basis
Revstat Statistical Journal, 2004 Local polynomial modelling can be seen as a local fit of the data against a polynomial basis. In this paper we extend this method to the power basis, i.e. a basis which consists of the powers of an arbitrary function.
Jochen Einbeck
doaj +1 more source
Model Predictive Control of Nonlinear MIMO Systems Based on Adaptive Orthogonal Polynomial Networks
Elektronika ir Elektrotechnika, 2021 This paper considers a new design of model predictive control based on specific models in the form of adaptive orthogonal polynomial networks, built around a specially tailored basis of generalized orthogonal functions.
Marko T. Milojkovic +5 more
doaj +1 more source