scispace - formally typeset
Search or ask a question
Topic

Systems modeling

About: Systems modeling is a research topic. Over the lifetime, 3751 publications have been published within this topic receiving 65414 citations. The topic is also known as: system model.


Papers
More filters
Book
01 Jan 1976
TL;DR: In this paper, the authors present a rigorous mathematical foundation for modeling and simulation and provide a comprehensive framework for integrating the various simulation approaches employed in practice, including cellular automata, chaotic systems, hierarchical block diagrams, and Petri nets.
Abstract: From the Publisher: Although twenty-five years have passed since the first edition of this classical text, the world has seen many advances in modeling and simulation, the need for a widely accepted framework and theoretical foundation is even more necessary today. Methods of modeling and simulation are fragmented across disciplines making it difficult to re-use ideas from other disciplines and work collaboratively in multidisciplinary teams. Model building and simulation has been made easier and faster by riding piggyback on advances in software and hardware. However, difficult and fundamental issues such as model credibility and interoperation have received less attention. These issues are now front and center under the impetus of the High Level Architecture (HLA) standard mandated by the U.S. DoD for all contractors and agencies. This book concentrates on integrating the continuous and discrete paradigms for modeling and simulation. A second major theme is that of distributed simulation and its potential to support the co-existence of multiple formalisms in multiple model components. Prominent throughout are the fundamental concepts of modular and hierarchical model composition. This edition presents a rigorous mathematical foundation for modeling and simulation. Also, it now provides a comprehensive framework for integrating the various simulation approaches employed in practice. Including such popular modeling methods as cellular automata, chaotic systems, hierarchical block diagrams, and Petri nets. A unifying concept, called the DEVS Bus, enables models, as expressed in their native formalisms, to be transparently mapped into the Discrete Event System Specification (DEVS). The book shows how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments. If you are doing integrative simulations, whether or not they are HLA compliant, this is the only book available to provide the foundation to understand, simplify and successfully accomplish your task. Herbert Praehofer is an Assistant Professor at the Johannes Kepler University in Linz, Austria. He has over 50 publications in international journals and conference proceedings on Modeling and Computer Simulation, Systems Theory, and Software Engineering. Tag Gon Kim is a Professor of Electrical Engineering at the Korea Advanced Institutes of Science and Technology (KAIST), Taejon, Korea. His research interests include discrete event systems modeling/simulation, computer/communication systems analysis, and object-oriented simulation engineering. He is a senior member of IEEE and SCS, and a member of ACM. * Provides a comprehensive framework for continuous and discrete event modeling and simulation * Explores the mathematical foundation of simulation modeling * Discusses system morphisms for model abstraction and simplification * Presents a new approach to discrete event simulation of continuous processes * Includes parallel and distributed simulation of discrete event models * Presentation of a concept to achieve simulator interoperability in the form of the DEVS-Bus * Complete coverage necessary for compliance with High Level Architecture (HLA) standards Bernard P Zeigler, is a Professor of Electrical & Computer Engineering at the University of Arizona and heads the Artificial Intelligence Simulation Research Group. He is the author of numerous books and publications, and he is the Editor-in-Chief of the Transactions of the Society for Computer Simulation International.

2,569 citations

Journal ArticleDOI
TL;DR: The SimpleScalar tool set provides an infrastructure for simulation and architectural modeling that can model a variety of platforms ranging from simple unpipelined processors to detailed dynamically scheduled microarchitectures with multiple-level memory hierarchies.
Abstract: Designers can execute programs on software models to validate a proposed hardware design's performance and correctness, while programmers can use these models to develop and test software before the real hardware becomes available. Three critical requirements drive the implementation of a software model: performance, flexibility, and detail. Performance determines the amount of workload the model can exercise given the machine resources available for simulation. Flexibility indicates how well the model is structured to simplify modification, permitting design variants or even completely different designs to be modeled with ease. Detail defines the level of abstraction used to implement the model's components. The SimpleScalar tool set provides an infrastructure for simulation and architectural modeling. It can model a variety of platforms ranging from simple unpipelined processors to detailed dynamically scheduled microarchitectures with multiple-level memory hierarchies. SimpleScalar simulators reproduce computing device operations by executing all program instructions using an interpreter. The tool set's instruction interpreters also support several popular instruction sets, including Alpha, PPC, x86, and ARM.

1,656 citations

Book
18 Jan 2000
TL;DR: Part I: Basics.
Abstract: Part I: Basics. Introduction to Systems Modeling Concepts. Framework for Modeling and Simulation. Modeling Formalisms and Their Simulators. Introduction to Discrete Event System Specifications (DEVS). Hierarchy of System Specifications. Part II: Modeling Formalisms and Simulation Algorithms. Basic Formalisms: DEVS, DTSS, DESS. Basic Formalisms: Coupled Multicomponent Systems. Simulators for Basic Formalisms. Multiformalism Modeling and Simulation. DEVS-Based Extended Formalisms. Parallel and Distributed Discrete Event Simulation. Part III: System Morphisms: Abstraction, Representation, Approximation. Hierarchy of System Morphisms. Abstraction: Constructing Model Families. Verification, Validation, Approximate Morphisms: Living with Error. DEVS and DEVS-like Systems: Universality and Uniqueness. DEVS Representation of Systems. Part IV: System Design and Modeling and Simulation Environments. DEVS-Based Design Methodology. System Entity Structure/Model Base Framework. Collaboration and the Future.

1,169 citations

Book
15 Dec 1999
TL;DR: Modeling of hybrid systems.
Abstract: This book is about dynamical systems that are "hybrid" in the sense that they contain both continuous and discrete state variables. Recently there has been increased research interest in the study of the interaction between discrete and continuous dynamics. The present volume provides a first attempt in book form to bring together concepts and methods dealing with hybrid systems from various areas, and to look at these from a unified perspective. The authors have chosen a mode of exposition that is largely based on illustrative examples rather than on the abstract theorem-proof format because the systematic study of hybrid systems is still in its infancy. The examples are taken from many different application areas, ranging from power converters to communication protocols and from chaos to mathematical finance. Subjects covered include the following: definition of hybrid systems; description formats; existence and uniqueness of solutions; special subclasses (variable-structure systems, complementarity systems); reachability and verification; stability and stabilizability; control design methods. The book will be of interest to scientists from a wide range of disciplines including: computer science, control theory, dynamical system theory, systems modeling and simulation, and operations research.

1,103 citations

Book
01 Jan 2008
TL;DR: This book shows how an organization or project can transition to model-based systems engineering using SysML, with considerations for processes, methods, tools, and training.
Abstract: A general purpose graphical modeling language used to specify, analyze, and design systems that may include hardware, software, and personnel, SysML is now being adopted by companies across a broad range of industries, including aerospace and defense, automotive, and IT system developers. This book is the bestselling, authoritative guide to SysML for systems and software engineers, providing a comprehensive and practical resource for modeling systems with SysML. Fully updated to cover newly released version 1.3, it includes a full description of the modeling language along with a quick reference guide, and shows how an organization or project can transition to model-based systems engineering using SysML, with considerations for processes, methods, tools, and training. Numerous examples to help readers understand how SysML can be used in practice, while reference material facilitates studying for the OMG Systems Modeling Professional (OCSMP) Certification Program, designed to test candidates' knowledge of SysML and their ability to use models to represent real-world systems. Authoritative and comprehensive guide to understanding and implementing SysML A quick reference guide, including language descriptions and practical examples Application of model-based methodologies to solve complex system problems Guidance on transitioning to model-based systems engineering using SysML Preparation guide for OMG Certified Systems Modeling Professional (OCSMP) Table of Contents Part I Introduction Systems Engineering Overview Model-Based Systems Engineering3 SysML Language Overview SysML Language Overview Part II Language Description SysML Language Architecture Organizing the Model with Packages Modeling Structure with Blocks Modeling Constraints with Parametrics Modeling Flow-Based Behavior with Activities Modeling Message-Based Behavior with Interactions Modeling Event-Based Behavior with State Machines Modeling Functionality with Use Cases Modeling Text-Based Requirements and their Relationship?to Design Modeling Cross-Cutting Relationships with Allocations Customizing SysML for Specific Domains Part III Modeling Examples Water Distiller Example Using Functional Analysis Residential Security System Example Using the Object-Oriented Systems Engineering Method Part IV Transitioning to Model-Based Systems Engineering Integrating SysML into a Systems Development Environment Deploying SysML into an Organization APPENDIXES A-1 SysML Reference Guide A-2 Cross Reference Guide to the OMG Systems Modeling Professional Certification Program (OCSMP) - NEW

997 citations


Network Information
Related Topics (5)
Fuzzy logic
151.2K papers, 2.3M citations
80% related
Control theory
299.6K papers, 3.1M citations
79% related
Optimization problem
96.4K papers, 2.1M citations
79% related
Software
130.5K papers, 2M citations
78% related
Artificial neural network
207K papers, 4.5M citations
78% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20236
202215
2021115
2020122
2019149
2018161