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 stochastic effects on progression through the eukaryotic cell cycle

Abstract: The eukaryotic cell cycle is regulated by a complicated chemical reaction network. Although many deterministic models have been proposed, stochastic models are desired to capture noise in the cell resulting from low numbers of critical species. However, converting a deterministic model into one that accurately captures stochastic effects can result in a complex model that is hard to build and expensive to simulate. In this paper, we first apply a hybrid (mixed deterministic and stochastic) simulation method to such a stochastic model. With proper partitioning of reactions between deterministic and stochastic simulation methods, the hybrid method generates the same primary characteristics and the same level of noise as Gillespie's stochastic simulation algorithm, but with better efficiency. By studying the results generated by various partitionings of reactions, we developed a new strategy for hybrid stochastic modeling of the cell cycle. The new approach is not limited to using mass-action rate laws. Numerical experiments demonstrate that our approach is consistent with characteristics of noisy cell cycle progression, and yields cell cycle statistics in accord with experimental observations.

Modeling and Simulation of Terahertz Resonant Tunneling Diode-Based Circuits

Abstract: Circuit models of transmission line elements and of a terahertz resonant tunneling diode (RTD) have been developed. The models allow for a reliable design of RTD-based oscillator and detector circuits. The transmission line elements have been modeled based on electromagnetic field simulations and dc measurements. Their accuracy has been verified through S-parameter measurements. The RTD has been modeled on the basis of dc and S-parameter measurements. The models have been used for the circuit design. A new circuit has been developed that can provide a load impedance that allows for high-output-power oscillators and high-sensitivity detectors. The circuit has been manufactured and measured as an oscillator and as a detector at frequencies around 300 GHz. An excellent agreement between measurement and simulation has been obtained, proving the accuracy of the developed models.

Real-Time Simulation Technologies : Principles, Methodologies, and Applications

Abstract: Section I: Basic Simulation Technologies and Fundamentals Real-Time Simulation Using Hybrid Models, R. Crosbie Formalized Approach for the Design of Real-Time Distributed Computer Systems, M. Zhang, B. Zeigler, and X. Hu Principles of DEVS Model Verification for Real-Time Embedded Applications, H. Saadawi, G.A. Wainer, and M. Moallemi Optimizing Discrete Modeling and Simulation for Real-Time Constraints with Metaprogramming, L. Touraille, J. Caux, and D. Hill Modeling with UML and Its Real-Time Profiles, E. Farcas, I.H. Kruger, and M. Menarini Modeling and Simulation of Timing Behavior with the Timing Definition Language, J. Templ, A. Naderlinger, P. Derler, P. Hintenaus, W. Pree, and S. Resmerita Section II: Real-Time Simulation for System Design Progressive Simulation-Based Design for Networked Real-Time Embedded Systems, X. Hu and E. Azarnasab Validator Tool Suite: Filling the Gap between Conventional Software-in-the-Loop and Hardware-in-the-Loop Simulation Environments, S. Resmerita, P. Derler, W. Pree, and K. Butts Modern Methodology of Electric System Design Using Rapid-Control Prototyping and Hardware-in-the-Loop, J. Belanger and C. Dufour Modeling Multiprocessor Real-Time Systems at Transaction Level, G. Beltrame, G.Nicolescu, and L. Fossati Service-Based Simulation Framework for Performance Estimation of Embedded Systems, A. Sejer Tranberg-Hansen and J. Madsen Consistency Management of UML Models, E. Farcas, I.H. Kruger, and M. Menarini Section III: Parallel and Distributed Real-Time Simulation Interactive Flight Control System Development and Validation with Real-Time Simulation, H.H. T. Liu Test Bed for Evaluation of Power Grid Cyber-Infrastructure, D.C. Bergman and D.M. Nicol System Approach to Simulations for Training: Instruction, Technology, and Process Engineering, S.Schatz, D. Nicholson, and R. Dolletski Concurrent Simulation for Online Optimization of Discrete Event Systems, C.G. Cassandras and C.G. Panayiotou Section IV: Tools and Applications Toward Accurate Simulation of Large-Scale Systems via Time Dilation, J. Edmondson and D.C. Schmidt Simulation for Operator Training in Production Machinery, G. Rath Real-Time Simulation Platform for Controller Design, Test, and Redesign, S. Sahin, Y. Isler, and C. Guzelis Automotive Real-Time Simulation: Modeling and Applications, J. Scharpf, R. Hopler, and J. Hillyard Specification and Simulation of Automotive Functionality Using AUTOSAR, M. Di Natale Modelica as a Platform for Real-Time Simulation, J.J. Batteh, M.M. Tiller, and D. Winkler Real-Time Simulation of Physical Systems Using Simscape(TM), S. Miller and J. Wendlandt Systematic Derivation of Hybrid System Models for Hydraulic Systems, J. Hodgson, R. Hyde, and S. Sharma

Modeling and Simulation of DC Electric Rail Transit Systems With Wayside Energy Storage

Abstract: Electric rail transit systems are large consumers of electricity, which face challenges related to improving their overall energy efficiency. Although various solutions have been proposed to achieve this target, it is not feasible to implement and test all of them. Since finding the solution that is most appropriate to a given system is typically a site-specific problem, an accurate, validated, and reliable simulation tool is crucial. In this paper, a simulation model for studying wayside energy storage systems in dc electric rail transit system is presented. The proposed model provides a reliable tool for analyzing the behavior of the transit system during intervals that span from a small fraction of time (milliseconds) up to 24 h. In order to validate the proposed simulation model, its results were compared with real measurements of a standard subway system.