## Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic SystemsThe increased computational power and software tools available to engineers have increased the use and dependence on modeling and computer simulation throughout the design process. These tools have given engineers the capability of designing highly complex systems and computer architectures that were previously unthinkable. Every complex design project, from integrated circuits, to aerospace vehicles, to industrial manufacturing processes requires these new methods. This book fulfills the essential need of system and control engineers at all levels in understanding modeling and simulation. This book, written as a true text/reference has become a standard sr./graduate level course in all EE departments worldwide and all professionals in this area are required to update their skills. The book provides a rigorous mathematical foundation for modeling and computer simulation. It provides a comprehensive framework for modeling and simulation integrating the various simulation approaches. It covers model formulation, simulation model execution, and the model building process with its key activities model abstraction and model simplification, as well as the organization of model libraries. Emphasis of the book is in particular in integrating discrete event and continuous modeling approaches as well as a new approach for discrete event simulation of continuous processes. The book also discusses simulation execution on parallel and distributed machines and concepts for simulation model realization based on the High Level Architecture (HLA) standard of the Department of Defense. * Presents a working foundation necessary for compliance with High Level Architecture (HLA) standards * 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 |

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### Inhoudsopgave

Introduction to Systems Modeling Concepts | 3 |

Framework for Modeling and Simulation | 25 |

Modeling Formalisms and Their Simulators | 37 |

Introduction to Discrete Event System Specifications DEVS | 75 |

Hierarchy of System Specifications | 99 |

at the Structured System Level | 129 |

Modeling Formalisms and Simulation Algorithms | 135 |

Coupled Multicomponent Systems | 149 |

Abstraction Representation | 293 |

Constructing Model Families | 329 |

on IdentityErasing Aggregation | 344 |

Disaggregation | 362 |

Universality and Uniqueness | 391 |

DEVS Representation of Systems | 411 |

System Design and Modeling | 455 |

System Entity StructureModel Base Framework | 481 |

### Overige edities - Alles weergeven

### Veelvoorkomende woorden en zinsdelen

Algorithm approach base model basic behavior block Bond Graphs cells cellular automata Chapter Classic DEVS components compute coordinator coupled system defined derivative DEV&DESS DEVS formalism DEVS model DEVS simulation devs-simulator differential equation discrete event simulation discrete event systems discrete time systems distributed simulation DTSS dynamic dynamic system error example execution Exercise experimental frame external feedback Figure finite fuzzy global hierarchical homomorphism I/O function I/O system implementation influencers initial input event input ports input segment input/output integration internal event internal transition IOFO linear loop lumped model memoryless modeling and simulation modular multicomponent ofSCS output events output function output ports output trajectories Parallel DEVS parameter partition Petri nets phase processor quantized systems queue receive represents rollback system level system morphism system specification systems theory ta(s temporal logic Theorem tion transition function variables x-message Zeigler

### Populaire passages

Pagina iii - Programming for the real world: POSIX.4", O'Reilly & Associates, (1995). A Progressive Fast Volume Rendering for Medical Images Keun Ho Kim and HyunWook Park Department of Electrical Engineering Korea Advanced Institute of Science and Technology Taejon, Korea ABSTRACT There are various 3D visualization methods such as volume rendering and surface rendering.