Results 41 to 50 of about 12,262,956 (340)
Controller Design for Unstable Time-Delay Systems with Unknown Transfer Functions
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]
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
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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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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Design of Optimal Controllers for Unknown Dynamic Systems through the Nelder–Mead Simplex Method
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
doaj +1 more source
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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A Class of Exponential Penalty Functions [PDF]
A class of penalty functions where the trial solutions may be interior or exterior to the feasible region of a nonlinear program is developed. Conditions under which the trial solutions become feasible are presented and a convergence rate is established.
openaire +3 more sources
Prediction of composite indicators using locally weighted quantile regression
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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Smooth exact penalty functions II: a reduction to standard exact penalty functions [PDF]
A new class of smooth exact penalty functions was recently introduced by Huyer and Neumaier. In this paper, we prove that the new smooth penalty function for a constrained optimization problem is exact if and only if the standard nonsmooth penalty function for this problem is exact.
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Automatic Decrease of the Penalty Parameter in Exact Penalty Function Methods [PDF]
This paper presents an analysis of the involvement of the penalty parameter in exact penalty function methods that yields modifications to the standard outer loop which decreases the penalty parameter (typically dividing it by a constant).
Marcel Mongeau +3 more
core +1 more source

