Nonlinear Optimization for Geometric Parameters of Reinforced Concrete Coupled Structural Walls
Sign Up to like & getrecommendations! Published in 2019 at "KSCE Journal of Civil Engineering"
DOI: 10.1007/s12205-019-1189-5
Abstract: The coupling ratio (CR) has been widely used to quantitatively reflect the degree of coupling action between the component walls and link beams of a coupled wall. However, the CR index is very difficult to… read more here.
Keywords: coupled walls; nonlinear optimization; geometric parameters; optimization geometric ... See more keywords
Nonlinear optimization for a tumor invasion PDE model
Sign Up to like & getrecommendations! Published in 2018 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-016-0356-2
Abstract: In this work, we introduce a methodology to approximate unknown parameters that appear on a non-linear reaction–diffusion model of tumor invasion. These equations consider that tumor-induced alteration of micro-environmental pH furnishes a mechanism for cancer… read more here.
Keywords: nonlinear optimization; tissue; model; tumor invasion ... See more keywords
A framework for Data-Driven Structural Analysis in general elasticity based on nonlinear optimization: The static case
Sign Up to like & getrecommendations! Published in 2020 at "Computer Methods in Applied Mechanics and Engineering"
DOI: 10.1016/j.cma.2020.112993
Abstract: Abstract Data-Driven Computational Mechanics is a novel computing paradigm that enables the transition from standard data-starved approaches to modern data-rich approaches. At this early stage of development, one can distinguish two mainstream directions. The first one, which… read more here.
Keywords: nonlinear optimization; framework data; data driven; optimization ... See more keywords
Discrete-time nonlinear optimization via zeroing neural dynamics based on explicit linear multi-step methods for tracking control of robot manipulators
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.093
Abstract: Abstract In this paper, discrete-time nonlinear optimization (DTNO) for tracking control of robot manipulators is investigated. By utilizing zeroing neural dynamics (ZND) method, a continuous-time ZND (CTZND) model is first proposed for solving the corresponding… read more here.
Keywords: discrete time; nonlinear optimization; step; time ... See more keywords
RSS-Based Visible Light Positioning Using Nonlinear Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3156616
Abstract: In recent years, indoor positioning has drawn intensive attention for both pedestrian and mobile robot applications. Among various indoor positioning technologies, visible light positioning has many advantages due to its high localization accuracy, high bandwidth,… read more here.
Keywords: accuracy; light positioning; visible light; nonlinear optimization ... See more keywords
Computational Neural Dynamics Model for Time-Variant Constrained Nonlinear Optimization Applied to Winner-Take-All Operation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3138794
Abstract: Although time-variant nonlinear optimization with equality and inequality constraints (TVNOEIC) is a widespread problem in real life, the research on this issue is much less than the time-invariant one. Large lagging errors may not be… read more here.
Keywords: time; neural dynamics; model; nonlinear optimization ... See more keywords
Noise-Suppressing Neural Dynamics for Time-Dependent Constrained Nonlinear Optimization With Applications
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3138550
Abstract: Up to date, the existing methods for nonlinear optimization with time-dependent parameters can be classified into two types: 1) static methods are capable of handling inequality constraints but may generate large lagging errors in the… read more here.
Keywords: problem; time; time dependent; inequality constraints ... See more keywords
Simultaneous reconstruction of phase and amplitude for wavefront measurements based on nonlinear optimization algorithms.
Sign Up to like & getrecommendations! Published in 2020 at "Optics express"
DOI: 10.1364/oe.396486
Abstract: The non-perfect determined amplitude distribution in the pupil would affect the convergence speed and accuracy of phase retrieval method, which depends on the amplitude of fields to reconstruct the phase. In this paper, we propose… read more here.
Keywords: phase; nonlinear optimization; optimization algorithms; simultaneous reconstruction ... See more keywords
DNN-Assisted Cooperative Localization in Vehicular Networks
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DOI: 10.3390/en12142758
Abstract: This work develops a deep-learning-based cooperative localization technique for high localization accuracy and real-time operation in vehicular networks. In cooperative localization, the noisy observation of the pairwise distance and the angle between vehicles causes nonlinear… read more here.
Keywords: assisted cooperative; localization; vehicular networks; dnn assisted ... See more keywords
Nonlinear Optimization of Turbine Conjugate Heat Transfer with Iterative Machine Learning and Training Sample Replacement
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DOI: 10.3390/en13174587
Abstract: A simple yet effective optimization technique is developed to solve nonlinear conjugate heat transfer. The proposed Nonlinear Optimization with Replacement Strategy (NORS) is a mutation of several existing optimization processes. With the improvements of 3D… read more here.
Keywords: turbine; machine learning; nonlinear optimization; conjugate heat ... See more keywords
Comparative Study of an EKF-Based Parameter Estimation and a Nonlinear Optimization-Based Estimation on PMSM System Identification
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DOI: 10.3390/en14196108
Abstract: In this study, two different parameter estimation algorithms are studied and compared. Iterated EKF and a nonlinear optimization algorithm based on on-line search methods are implemented to estimate parameters of a given permanent magnet synchronous… read more here.
Keywords: estimation; system; nonlinear optimization; parameter estimation ... See more keywords