EFFECT OF PENALTY FUNCTION PARAMETER IN OBJECTIVE FUNCTION OF SYSTEM IDENTIFICATION [PDF]
, 2013 The evaluation of an objective function for a particular model allows one to determine the optimality of a model structure with the aim of selecting an adequate model in system identification.
Abd Samad, Md Fahmi
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Numerical algorithm for hypersonic vehicle optimal flight control
Measurement + Control, 2023 We consider a hypersonic vehicle optimal flight control problem. The problem is modeled as an optimal control problem of switched systems (OCPSS), which can become a parameter optimization problem (POP).
Haoyue Zhang, Shihong Ding
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Eliciting Truthful Data From Crowdsourced Wireless Monitoring Modules in Cloud Managed Networks
IEEE Access, 2020 To facilitate efficient cloud managed resource allocation solutions, collection of key wireless metrics from multiple access points (APs) at different locations within a given area is required.
Zunera Javed +4 more
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Frontiers in Oncology, 2020 The magnetic resonance (MR) images are acknowledged to be inevitably corrupted by Rician distributed noise, which adversely affected the image quality for diagnosis purpose.
Li Wang +9 more
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Generalized Logarithmic Penalty Function Approach For Invex Nonlinear Constrained Optimization And Its Application [PDF]
, 2020 A penalty function approach is used widely in the field of mathematical programming, and it served as an alternative to conventional non-linear constrained optimization approach.
Hassan, Mansur
core
A distributed algorithm for demand-side management: Selling back to the grid
Heliyon, 2017 Demand side energy consumption scheduling is a well-known issue in the smart grid research area. However, there is lack of a comprehensive method to manage the demand side and consumer behavior in order to obtain an optimum solution.
Milad Latifi +4 more
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IEEE Open Journal of Signal ProcessingRecently, various robust algorithms based on hyperbolic cosine and sine functions, such as hyperbolic cosine (HCAF), exponential hyperbolic cosine, joint logarithmic hyperbolic cosine adaptive filter, etc., have been predominantly employed for different ...
Neetu Chikyal +4 more
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APPLICATION OF A PRIMAL-DUAL INTERIOR POINT ALGORITHM USING EXACT SECOND ORDER INFORMATION WITH A NOVEL NON-MONOTONE LINE SEARCH METHOD TO GENERALLY CONSTRAINED MINIMAX OPTIMISATION PROBLEMS [PDF]
Journal of Engineering Science and Technology, 2008 This work presents the application of a primal-dual interior point method to minimax optimisation problems. The algorithm differs significantly from previous approaches as it involves a novel non-monotone line search procedure, which is based on the use ...
INTAN S. AHMAD, VASSILIOS S. VASSILIDIS
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A probabilistic validation approach for penalty function design in stochastic model predictive control [PDF]
, 2020 In this paper, we consider a stochastic Model Predictive Control able to account for effects of additive stochastic disturbance with unbounded support, and requiring no restrictive assumption on either independence nor Gaussianity.
Mammarella M. +3 more
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CT Lilun yu yingyong yanjiuThe sparse impedance inversion method is widely used in oil and gas exploration. However, traditional sparse constraints capture limited three-dimensional spatial sparse information and often neglect the time-frequency characteristics of seismic data. As
Bo HOU +4 more
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