Modeling and simulation

About: Modeling and simulation is a research topic. Over the lifetime, 10273 publications have been published within this topic receiving 111550 citations.

Hybrid Modeling and Simulation of Genetic Regulatory Networks: A Qualitative Approach

Abstract: The study of genetic regulatory networks has received a major impetus from the recent development of experimental techniques allowing the measurement of patterns of gene expression in a massively parallel way. This experimental progress calls for the development of appropriate computer tools for the modeling and simulation of gene regulation processes. We present a method for the hybrid modeling and simulation of genetic regulatory networks, based on a class of piecewiselinear (PL) differential equations that has been well-studied in mathematical biology. Distinguishing characteristics of the method are that it makes qualitative predictions of the behavior of regulatory systems and that it deals with discontinuities in the right-hand side of the differential equations. The simulation method has been implemented in Java in the computer tool Genetic Network Analyzer (GNA). The method and the tool have been used to analyze several networks of biological interest, including the network underlying the initiation of sporulation in Bacillus subtilis.

A SystemC-based framework for modeling and simulation of networked embedded systems

Abstract: Next-generation networked embedded systems pose new challenges in the design and simulation domains. System design choices may affect the network behavior and network design choices may impact on the system design. For this reason, it is important -at the early stages of the design flow- to model and simulate not only the system under design, but also the heterogeneous networked environment in which it operates. For this purpose, we have exploited a modeling language traditionally used for System design -SystemC- to build a system/network simulator named SystemC Network Simulation Library (SCNSL). This library allows to model network scenarios in which different kinds of nodes, or nodes described at different abstraction levels, interact together. The use of SystemC as unique tool has the advantage that HW, SW, and network can be jointly designed, validated and refined. As a case study, the proposed tool has been used to simulate a sensor network application and it has been compared with NS-2, a well-known network simulator; SCNSL shows nearly two-order-magnitude speed up with TLM modeling and about the same performance as NS-2 with a mixed TLM/RTL scenario. The simulator is partially available to the community at http://sourceforge.net/projects/scnsl/.

Analysis of the virtual enterprise using distributed supply chain modeling and simulation: an application of e-SCOR

Abstract: Supply chains are large systems consisting of many entities interacting in complex ways. The challenge faced by companies is how to design and manage such systems. Modeling and simulation enables analysis of complex systems but as the model increases in size and realism, or when it is necessary to locate model components geographically, a distribution capability is needed. The High Level Architecture (HLA), developed by the Department of Defense provides the infrastructure needed for large-scale distributed simulation. The supply chain management field is characterized by a lack of standards and definitions. The Supply Chain Council has established a standard way to examine and analyze supply chains with their Supply Chain Operations Reference, or SCOR model. The SCOR model provides a standard way of viewing a supply chain, a common set of manipulate-able variables and a set of accepted metrics for understanding the dynamic behavior of supply chains. The e-SCOR modeling and simulation environment is based on SCOR and adds discrete event simulation capabilities. This paper describes the architectural components used to implement a distributed supply chain modeling tool (e-SCOR) and applications of e-SCOR that demonstrate how enterprises are modeled and analyzed to determine the validity of alternative, virtual business models.

Recent Progress in Modeling, Simulation, and Optimization of Polymer Solar Cells

Abstract: The power conversion efficiency of polymer solar cells today has passed 10%, the commonly acceptable value for commercial usage. However, in general labs, the power conversion efficiency routinely achievable is only at 3–5% because of the lack of effective tools to optimize the device design and the fabrication process. Instead of using trial-and-error experiments to improve the power efficiency, modeling and simulation provides an alternative, effective, and economical way to optimize the design of polymer solar cells for best device performance. This review gives a literature survey, including some of our own studies, on modeling and simulation of polymer solar cells. First, the fundamentals of polymer solar cells are briefly explained. Then, the optical and electrical modeling and simulation are discussed in detail, followed by a discussion on optimization of polymer solar cells via modeling and simulation. This review ends with an outlook for the future study on modeling, simulation, and optimization of polymer solar cells.

PID & LQR control for a quadrotor: Modeling and simulation

Abstract: This paper aims to present a comparison between various controllers to be used in dynamic model of a quadrotor platform. The controllers assumed in this work are conventional PID and a classic LQR controller. The PID controller is chosen for quadrotor model because of its versatility and facile implementation, while also providing a good response for the model dynamics attitudes. The LQR controller seemed to be a good comparative controller due to its great performance and robustness in the plant. In this study, it is accomplished that both the controllers provide satisfactory feedback for quadrotor stabilization.