SIMULATION: Transactions of The Society for Modeling and Simulation International

Yurevich, Petukhov Alexander; Olegovich, Malkhanov Alexey; Mikhailovich, Sandalov Vladimir; Vasilievich, Petukhov Yuri

doi: 10.1177/0037549718761573pmid: N/A

In this paper the problem of modeling social conflicts of various types with the help of diffusion equations is discussed. The main approaches to and methods of mathematical modeling in contemporary humanitarian sciences are outlined. The main concepts of social conflicts, means of their classification and interpretation – including ethnic-social, religious, and other conflicts – are considered. The notion of a conflict in a social system is defined in terms of mathematical modeling. A model based on the Langevin diffusion equation is introduced. The model is based on the idea that all individuals in a society interact by means of a communication field. This field is induced by each individual in the society and forms informational interaction between individuals.An analytical solution of the system of equations is given in the first approximation for a diverging type of diffusion. It is shown that even for a simple case of the interaction of two groups of individuals the developed model makes it possible to discover characteristic laws of a conflict in a social system. It allows determining the effect of social distance in a society on the conditions of generation of such processes, with account of external effects or a random factor.Based on the analysis of the phase portraits for the given system, it has been concluded that there exists a stability region within which the social system is stable and non-conflicting.

Tapia Sánchez, Roberto; Medina Ríos, J. Aurelio; Paz, Antonio Ramos

doi: 10.1177/0037549717753300pmid: N/A

In this paper, the control of a solar array is proposed. The bond graph methodology is applied in order to get the structure control law for a solar array connected to the electrical network. For this, the different models of the complete system are presented. The solar array is built up by considering the individual solar panels. The inverter bond graph model is used for the development of the proposed control law. This model is inverted graphically to get the control structure. Also, the Park transformation concept is adapted to handle the control structure. This allows us to get a different control structure. Two different controls are considered in the proposed control structure, with their robustness tested for different power factors. The control law is tested using a real-time simulator. For this test, the rapid control prototyping concept is used. The obtained results demonstrate the viability of the proposed control law.

Elkosantini, Sabeur; Darmoul, Saber

doi: 10.1177/0037549717748747pmid: N/A

In recent years, the simulation of personal car driver behavior has attracted increasing attention in recent research works. Such works are based on models and systems derived from social and psychological studies. The complexity of the simulation of such systems is due to the need for modeling driver behavior and the integration of psychological and physiological factors that can affect driver performance. Although there is only a limited number of models that have been proposed to simulate driver behavior, most of them suffer from limitations pertaining to the integration of some factors, an inadequacy that will be discussed in this paper. This investigation work focuses on the development of a new model for driver behavior simulation based on recent physiological and psychological theories. The model aims to reproduce the driver behavior with respect to some psychological factors. An experimental framework is also presented to build the simulation model. This article concludes by describing some examples of use or application of the suggested model.

Camus, Benjamin; Paris, Thomas; Vaubourg, Julien; Presse, Yannick; Bourjot, Christine; Ciarletta, Laurent; Chevrier, Vincent

doi: 10.1177/0037549717749014pmid: N/A

Most modeling and simulation (M&S) questions about cyber-physical systems (CPSs) require expert skills belonging to different scientific fields. The challenges are then to integrate each domain’s tools (formalism and simulation software) within the rigorous framework of M&S process. To answer this issue, we give the specifications of the Multi-agent Environment for Complex-SYstem CO-simulation (MECSYCO) middleware which enables to interconnect several pre-existing and heterogeneous M&S tools, so they can simulate a whole CPS together. The middleware performs the co-simulation in a parallel, decentralized, and distributable fashion thanks to its modular multi-agent architecture. In order to rigorously integrate tools that use different formalisms, the co-simulation engine of MECSYCO is based on the discrete event system specification (DEVS). The central idea of MECSYCO is to use a DEVS wrapping strategy to integrate each tool into the middleware. Thus, heterogeneous tools can be homogeneously co-simulated in the form of a DEVS system. By using DEVS, MECSYCO benefits from the numerous scientific works which have demonstrated the integrative power of this formalism and give crucial guidelines to rigorously design wrappers. We demonstrate that our discrete framework can integrate a vast amount of continuous M&S tools by wrapping the Functional Mockup Interface (FMI) standard. To this end, we take advantage of DEVS efforts of the literature (namely, the DEV&DESS hybrid formalism and Quantized State System (QSS) solvers) to design DEVS wrappers for Functional Mockup Unit (FMU) components. As a side-effect, this wrapping is not restricted to MECSYCO but can be applied in any DEVS-based platform. We evaluate MECSYCO with the proof of concept of a smart heating use case, where we co-simulate non-DEVS-centric M&S tools.

Zhao, Lijuan; Wang, Jianyong; Zhu, Xu

doi: 10.1177/0037549717753992pmid: N/A

As coal mining technology has continuously evolved, gradually the industry has moved toward fully mechanized mining. A roadheader machine is important mechanical equipment for roadway drivage through mechanical crushing. Through analysis and research to discover the key parameters relating to the cutting performance of the roadheader machine, the performance of the roadheader machine must be optimized and costs reduced, as well as productivity increased. As one of the most important statistical methods, principal component analysis (PCA) could not only reduce many factors into fewer overall targets, it could also provide the comparative item weighting, improving the computational efficiency and error precision of the radial basis function neural network, eliminating the correlation of each input variable, and increasing the stability of the network model. The principal variables are determined and a cutting performance evaluation model developed that allow both performance prediction and cutting performance evaluation. From the analysis it is concluded that the primary indicators of the roadheader cutting performance were the unidirectional compressive strength, the cutting resistance fluctuation, the weaving speed of the cutting head, the cutting power fluctuation, and the traction resistance fluctuation. The model is consistent with the practical test results and contributes to discovery of future optimization procedures.

doi: 10.1177/0037549718755941pmid: N/A