Results 21 to 30 of about 679,367 (185)
Controller Design for Unstable Time-Delay Systems with Unknown Transfer Functions
Mathematics, 2022 This study developed a method for designing parallel two-degree-of-freedom proportional-integral-derivative controllers for unstable time-delay processes with unknown dynamic equations.
Hsun-Heng Tsai +4 more
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Interference Alignment Using Difference of Convex-based Beamformer Design for MIMO Interference Channels [PDF]
Journal of Electrical and Computer Engineering Innovations, 2019 Background and Objectives: To achieve significant throughput, interference alignment (IA) is an encouraging technique for wireless interference networks.
N. Danesh, M. Sheikhan, B. Mahboobi
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Numerical Method for a Perturbed Risk Model with Proportional Investment
Mathematics, 2022 In this paper, we study the perturbed risk model with a threshold dividend strategy and proportional investment. The insurance companies are allowed to invest their surplus in a financial market consisting of a risk-free asset and a risky asset in fixed ...
Chunwei Wang, Naidan Deng, Silian Shen
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Design of Optimal Controllers for Unknown Dynamic Systems through the Nelder–Mead Simplex Method
Mathematics, 2021 This paper presents an efficient method for designing optimal controllers. First, we established a performance index according to the system characteristics.
Hsun-Heng Tsai +3 more
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Journal of Applied Mathematics, 2014 We focus on the expected discounted penalty function of a compound Poisson risk model with random incomes and potentially delayed claims. It is assumed that each main claim will produce a byclaim with a certain probability and the occurrence of the ...
Huiming Zhu +3 more
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Energies, 2023 To decrease the power deficit of a wind farm caused by wake effects, the layout optimization is a feasible way for the wind farm design stage. A suitable optimization algorithm can significantly improve the quality and efficiency of the optimization ...
Zhichang Liang, Haixiao Liu
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Prediction of composite indicators using locally weighted quantile regression
Nonlinear Analysis, 2018 The main goal of this paper is to improve the existing methods and tools used for solving penalized quantile regression problems. We modified the quantile regression method by implementing the extreme learning machine (ELM) algorithm and features of ...
Jurga Rukšenaitė +2 more
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A Penalty Function Promoting Sparsity Within and Across Groups
, 2016 We introduce a new weakly-convex penalty function for signals with a group behavior. The penalty promotes signals with a few number of active groups, where within each group, only a few high magnitude coefficients are active.
Bayram, İlker, Bulek, Savaşkan
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Constrained optimization using penalty function method combined with genetic algorithm
ITM Web of Conferences, 2018 In the paper the way of adaptation of the penalty function method to the genetic algorithm is presented. In case of application of the external penalty function, the penalty term may exceed the value of the primary objective function.
Knypiński Łukasz +2 more
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Restricted dissimilarity functions and penalty functions [PDF]
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-2011), 2011 In this work we introduce the definition of restricted dissimilarity functions and we link it with some other notions, such as metrics. In particular, we also show how restricted dissimilarity functions can be used to build penalty functions.
Gleb Beliakov +4 more
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