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Urban evacuation is of great significance in saving human lives when disasters strike major cities. Comparing with the large population to evacuate, the number of evacuation guiders is much smaller. Since the location of evacuation guiders can greatly influence the evacuation process, it is crucial to identify the most critical locations to assign guiders. The assignment optimization for evacuation...
The solution of the problem of construction of generalized model of production system optimal development is considered. Basis of the model — Bolza variational problem with integrated criterion of the first kind. Solution of the problem by numerical method is based on the method of optimal aggregation of “production, development” structures by simulation method of Hamilton function determination and...
This paper presents a metamodel based on the sparse polynomial chaos approach, well adapted to high-dimensional uncertainty quantification problems, applied for the analysis of crosstalk in printed circuit board microstrip traces. It enables to estimate, with a low computational cost compared to Monte Carlo (MC) simulation, statistical quantities and provides a sensitivity analysis of the crosstalk...
In the context of human-robot interaction, detecting an impact between a serial robot manipulator and the human operator or its environment efficiently and at the earliest is essential for safe and efficient operations. This work relies on the generalized momentum based-observer for robot impact detection using only motor/joint information and characterizes the uncertainties to quantify the expected...
In this paper, a novel PC based approach to model the impact of both aleatory (random) and epistemic (ignorance based) uncertainty on the performance of carbon nanotube (CNT) interconnects is presented. The key feature of this approach is a dimension fusion strategy whereby the aleatory and epistemic uncertainty in a model parameter is collectively represented using a single mixed variable. Thereafter,...
Predicting the High Intensity Radiated Field (HIRF) coupling in complex system is highly required in the aeronautic industry, which can be performed by electromagnetic simulation. But the validation of electromagnetic simulation is a difficult issue which needs proper flowchart and validation methods. In this paper, the numerical simulation by the parallel Finite-Difference Time-Domain (FDTD) method...
The optimization of spare parts inventory for equipment support system is becoming a dominant support strategy, especially in the defense industry. Tremendous researches have been made to achieve optimal support performance of the supply system. However, the lack of statistical data brings limitations to these optimization models which are grounded on probability theory. And, the spare parts inventory...
This paper investigates the issue of fuzzy dynamic integral sliding-mode controllers for nonlinear descriptor systems based on Takagi-Sugeno (T-S) fuzzy models. A fuzzy dynamic integral sliding-mode control (DISMC) scheme is developed for the nonlinear descriptor systems to remove the restrictive assumption that all local models share a common input matrix, which is required in most existing fuzzy...
The novel backstepping control schemes are proposed to deal with the formation control problem of multiple unmanned aerial vehicles (UAVs) with input saturation constraint and model uncertainty. The trajectory tracking error model of the multiple UAVs formation is established. Then the standard ideal backstepping formation controller, which is applied to address the case with certain model and no...
The idea of investment diversification has existed for a long time, as “do not put all eggs in the same basket.” as what we often say. Traditional investment management focuses on the combination of multiple securities, but it puts more emphasis on individual security, as the simple assembly of individual management. Investment combination theory regards combination as one entity, and pays attention...
When launching a new product to the market, in order to get the maximal profit, it is quite important to decide its selling price. This paper introduces a new multioligopoly model, in which the market price of a product is assumed to be an uncertain variable since it is lack of the historical data. Expected value operator and optimistic value approach are used to deal with the uncertainty in the model...
In the view of the shortcomings of the cloud gravity center and comprehensive cloud evaluation approaches based on cloud theory, the study was carried out combined with the quality evaluation of navy vessel's development alternatives. The basic principles and steps of cloud gravity center and comprehensive cloud evaluation approaches were summarized. According to the measurement requirements of navy...
The aim of this article is to design a moment transformation for Student-t distributed random variables, which is able to account for the error in the numerically computed mean. We employ Student-t process quadrature, an instance of Bayesian quadrature, which allows us to treat the integral itself as a random variable whose variance provides information about the incurred integration error. Advantage...
Some distributed parameter system can be decomposed into a modal form for dynamic analysis and control design purposes. Once decomposed, high accuracy approximate time solutions and frequency uncertainty bounds can be computed, enabling early lumping in robust controller design. In this paper the focus is on finding realizable modal decompositions via partial fraction expansion for a vast class of...
The cost estimation process, carried out by the contractor before the start of a project, is a critical activity for the contractor in accepting profitable EPC projects in competitive bidding situations. Thus, the contractor should devote significant time and resources to the accurate cost estimation of project orders from clients. However, it is impossible for any contractor to devote enough time...
From the theoretical point of view, in the case of uncertain factors, the paper study the optimal pricing strategy of the delivery platform under Stackelberg game model. Through numerical experiments, the change of uncertain factors is studied, the results show that the takeaway platform operators will benefit from lower uncertain degrees of the merchant's cost and takeaway platform operators' substitutability.
In this paper, we formulate a two-stage distributionally robust (DR) model for the optimal power flow (OPF) problem in the presence of uncertainties from wind power generation and load-based reserves. Assuming ambiguous distributions of the random variables, we minimize the costs of generation, reserves, and the worst-case expected value of the penalty cost of violating constraints. We consider a...
Work represents forming of the concept of optimum designing of the technical systems (TS) which includes stages: choice of the best technical parameters and characteristics; computer-aided design (CAD); trial and commercial operation. Now the stage of the choice of the best parameters of the TS is the least formalized stage and the main attention is paid to it. For the solution of a question of the...
Work represents methodology of simulation of optimal parameters of technical systems (TS) with equivalent characteristics (criteria), with a criterion priority. The methodology is part of the concept of optimum designing of technical systems. Mathematical and organizational statement of the concept is provided in the first article. The methodology is provided as numerical implementation of mathematical...
This paper deals with analyzing the steady-state regulation of possibly uncertain multivariable discrete-time systems in the presence of arbitrary unmeasurable but bounded disturbances. The pseudo-inverse model-based control approach as a unified concept to cope with possible noninvertability and to achieve a desired behavior of a wide class of both linear and of nonlinear multivariable square and...
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