We derive a stochastic representation for the probability distribution on the positive orthant (0, infinity)(d) whose association between components is minimal among all probability laws with lp-norm symmetric surviva...
详细信息
We derive a stochastic representation for the probability distribution on the positive orthant (0, infinity)(d) whose association between components is minimal among all probability laws with lp-norm symmetric survival functions. It is given by a transformation of a uniform distribution on the standard unit simplex that is multiplied with an independent finite mixture of certain beta distributions and an additional atom at unity. On the one hand, this implies an efficient simulation algorithm for arbitrary probability laws with l(p)-norm symmetric survival function. On the other hand, this result is leveraged to construct an exact simulation algorithm for max-infinitely divisible probability distributions on the positive orthant whose exponent measure has l(p)-norm symmetric survival function. Both applications generalize existing results for the case p = 1 to the case of arbitrary p >= 1. (C) 2021 Elsevier Inc. All rights reserved.
Power system transient simulation software such as PSCAD and MATLAB is used as a signal source for a new generation of relay protection signal generators. In the simulation process, the external errors of the system m...
详细信息
ISBN:
(纸本)9781728140940
Power system transient simulation software such as PSCAD and MATLAB is used as a signal source for a new generation of relay protection signal generators. In the simulation process, the external errors of the system model caused by different simulation algorithms will be generated, so the output signal has larger harmonics distortion. This phenomenon affects the actual value of the data and the accuracy of the experiment. Therefore, a signal detection method based on wavelet theory is proposed. Combined with the total harmonic distortion rate index of voltage and current, a complete detection and reconstruction method of output waveform is established to eliminate the non-source error caused by different algorithms in transient simulation. Tests were performed using simulated signals and the results show the proposed methodology to be feasible.
It's crucial to simulate the acoustic detection effect timely and accurately between any two positions in the complex undersea environment in a real-time simulation platform. A numerical analysis method of sound r...
详细信息
Logistics service providers (LSPs) offering container transport to the hinterland of the Netherlands face the challenge of efficiently using the capacity of the barge in order to minimize cost, while part of the relev...
详细信息
Logistics service providers (LSPs) offering container transport to the hinterland of the Netherlands face the challenge of efficiently using the capacity of the barge in order to minimize cost, while part of the relevant information is still lacking at the moment decisions have to be made. The existing infrastructure and the transporta- tion activities are studied and modeled as an online optimization problem with simultaneously vehicle routing and container-to-mode assignment. A characteristic of great importance in the problem is the uncertainty element that reflects in the requested appointment times that have to be confirmed by another agent in the net- work. An online optimization approach is proposed, where the input data come in sequentially and decisions have to be made in between, because new information becomes available only after the decision has been made. At each decision moment, the uncertainty element is converted to an offline optimization problem by disre- garding the uncertainty or by simulating various potential future scenarios. Sub- sequently, the problem is modeled as a multi-commodity network design problem on a time-space graph. Four different solution methods are developed in order to solve the online optimization problem. Three confirmation based methods concern a model in which the uncertainty element is partially disregarded, by assuming that each requested appointment time will be scheduled at a specific time relative to the requested one. Alternatively, a much more complex method is developed in which various future scenarios are simulated for the requested appointment times given their probability vector. The simulation based model seeks robust solutions that are resistant to change, i. e., feasible and (sub)optimal for every potential future sce- nario that has been simulated. Using randomly generated (but realistic) instances, the computational results show that the proposed simulation model surpasses the simpler models both in term
Time Petri nets (TPNs) have been widely used for modeling discrete event systems such as manufacturing, supply chain, and military systems. However, TPNs still have many drawbacks in some scenarios where an operation ...
详细信息
Time Petri nets (TPNs) have been widely used for modeling discrete event systems such as manufacturing, supply chain, and military systems. However, TPNs still have many drawbacks in some scenarios where an operation or process is associated with probability, and also lack appropriate simulation algorithms for analyzing different types of systems. In this paper, we address these two issues by proposing a class of extended time Petri nets (ETPNs) and presenting an appropriate simulation algorithm. We illustrate and validate our approach using a hypothetic command and control system, which shows that this approach could be a powerful tool for modeling and analyzing discrete event systems.
The paper considers an efficient simulation algorithm for discrete event systems with a great number of elements. With the use of Petri-object simulation and parallel computing, the algorithm is developed that simulta...
详细信息
The paper considers an efficient simulation algorithm for discrete event systems with a great number of elements. With the use of Petri-object simulation and parallel computing, the algorithm is developed that simultaneously reproduces operation of Petri objects in separate streams. The linear dependence of the runtime of the algorithm on model's complexity is confirmed by experimental results.
In this paper, we use the variational iteration method (VIM) to construct approximate solutions for the general nth-order integro-differential equations. We show that his method can be effectively and easily used to s...
详细信息
In this paper, we use the variational iteration method (VIM) to construct approximate solutions for the general nth-order integro-differential equations. We show that his method can be effectively and easily used to solve some classes of linear and nonlinear Volterra integro-differential equations. Finally, some numerical examples with exact solutions are given.
Fuzzy approaches play an important role in the modeling of genetic regulatory networks (GRNs) with incomplete quantitative data. However, current fuzzy approaches such as fuzzy logic and fuzzy Petri nets (FPNs) can ne...
详细信息
Fuzzy approaches play an important role in the modeling of genetic regulatory networks (GRNs) with incomplete quantitative data. However, current fuzzy approaches such as fuzzy logic and fuzzy Petri nets (FPNs) can neither clearly describe causal relationships between genes as each interaction between genes is represented by a couple of fuzzy rules, nor easily deal with large GRNs. To address these issues, this paper presents a new class of colored fuzzy Petri nets (CFPNs) by combining colored Petri nets with FPNs, which makes it possible to clearly represent interactions among genes or to construct a compact model for a large GRN requiring many fuzzy rules. We give the definition of CFPNs and a simulation approach which incorporates a reasoning algorithm, as well as a detailed procedure for modeling and analyzing GRNs with CFPNs. We illustrate our approach using a simple example comprising six genes.
Continuous sampling plans are used to ensure a high level of quality for items produced in long-run contexts. The basic idea of these plans is to alternate between 100% inspection and a reduced rate of inspection freq...
详细信息
Continuous sampling plans are used to ensure a high level of quality for items produced in long-run contexts. The basic idea of these plans is to alternate between 100% inspection and a reduced rate of inspection frequency. Any inspected item that is found to be defective is replaced with a non-defective item. Because not all items are inspected, some defective items will escape to the customer. Analytical formulas have been developed that measure both the customer perceived quality and also the level of inspection effort. The analysis of continuous sampling plans does not apply to short-run contexts, where only a finite-size batch of items is to be produced. In this paper, a simulation algorithm is designed and implemented to analyze the customer perceived quality and the level of inspection effort for short-run contexts. A parameter representing the effectiveness of the test used during inspection is introduced to the analysis, and an analytical approximation is discussed. An application of the simulation algorithm that helped answer questions for the U.S. Navy is discussed.
A mathematical model of single-cylinder, two-stroke, low-speed marine internal combustion engine is presented. The simulation algorithm allows to perform diagnostics of the engine during a single cycle. The developed ...
详细信息
ISBN:
(纸本)9781538658703
A mathematical model of single-cylinder, two-stroke, low-speed marine internal combustion engine is presented. The simulation algorithm allows to perform diagnostics of the engine during a single cycle. The developed model is universal. The required number of cylinders is recruited by combining their mathematical models. The system makes it possible to evaluate the effect of fuel oil supply amount controlling on the engine operation.
暂无评论