Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems
The 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.
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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
at the Structured System Level
Modeling Formalisms and Simulation Algorithms
Coupled Multicomponent Systems
Constructing Model Families
on IdentityErasing Aggregation
Universality and Uniqueness
DEVS Representation of Systems
System Design and Modeling
System Entity StructureModel Base Framework
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
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.
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Motivated Metamodels: Synthesis of Cause-effect ..., Volume 5,Nummer 1570
Paul K. Davis,J. H. Bigelow,Rand Corporation,United States. Air Force
Geen voorbeeld beschikbaar - 2003