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Design of Robust Decentralized Control Systems for Distillation Columns [PDF]
Problems of the Regional Energetics, 2022 This paper is devoted to the development of a decentralized control system design method with improved robustness, applicable to distillation columns control problem.
Stopakevych A.O., Stopakevych O.A.
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Media Statistika, 2022 The response variable of the regression analysis has a linear relationship with one of the variable predictors, however the unknown relationship pattern with the other predictor variables.
Hesikumalasari Hesikumalasari +3 more
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A Multivariable Method for Calculating Failure Probability of Aeroengine Rotor Disk
Aerospace, 2023 The probabilistic damage tolerance analysis of aeroengine rotor disks is essential for determining if the disk is safe. To calculate the probability of failure, the numerical integration method is efficient if the integral formula of the probability ...
Guo Li +4 more
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Micromachines, 2022 Traditional methods of cultivating polyps are costly and time-consuming. Microfluidic chip technology makes it possible to study coral polyps at the single-cell level, but most chips can only be analyzed for a single environmental variable. In this work,
Shizheng Zhou +3 more
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Entropy, 2021 Properly measuring the complexity of time series is an important issue. The permutation entropy (PE) is a widely used as an effective complexity measurement algorithm, but it is not suitable for the complexity description of multi-dimensional data.
Dizhen Ma, Shaobo He, Kehui Sun
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Multi-variable quaternionic spectral analysis [PDF]
Opuscula Mathematica, 2021 In this paper, we consider finite dimensional vector spaces \(\mathbb{H}^n\) over the ring \(\mathbb{H}\) of all quaternions. In particular, we are interested in certain functions acting on \(\mathbb{H}^n\), and corresponding functional equations.
Ilwoo Cho, Palle E.T. Jorgensen
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Multivariable neural network to postprocess short‐term, hub‐height wind forecasts
Energy Science & Engineering, 2022 This work introduces a novel error correction method for short‐term, hub‐height wind speed forecasting systems aimed at power output prediction. We present a multivariable neural network that is trained to reduce the error in wind speed predictions out ...
Andrés A. Salazar +3 more
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Fractional-Order Multivariable Adaptive Control Based on a Nonlinear Scalar Update Law
Mathematics, 2022 This paper proposes a new fractional-order model reference adaptive control (FOMRAC) framework for a fractional-order multivariable system with parameter uncertainty.
Fang Yan, Xiaorong Hou, Tingting Tian
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Influential factors on survival in gastric cancer: A single-center study
Journal of Research in Medical Sciences, 2022 Background: Gastric cancer (GC) is one of the conspicuous causes of cancer-related death worldwide. Considering the mounting incidence of this cancer in developing countries such as Iran, determining the influential factors on the survival of involved ...
Ghodratollah Roshanaei +5 more
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Investigación e Innovación en Ingenierías, 2022 Objetivo: Diseñar un modelo estadístico que determine los factores académicos sobre resultados de las pruebas Saber Pro. Metodología: el estudio de técnicas de relaciones multivariables y de aprendizaje fueron empleadas para establecer un mecanismo de ...
Alberto Fabio Narváez Zúñiga
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