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Tuesday, August 4, 2020 | History

4 edition of State-based discrete-event modeling and control of concurrent systems found in the catalog.

State-based discrete-event modeling and control of concurrent systems

Raymond Kin Jeon Wong

State-based discrete-event modeling and control of concurrent systems

by Raymond Kin Jeon Wong

  • 385 Want to read
  • 17 Currently reading

Published by National Library of Canada in Ottawa .
Written in English


Edition Notes

Thesis (M.A.Sc.)--University of Toronto, 1991.

SeriesCanadian theses = Thèses canadiennes
The Physical Object
FormatMicroform
Pagination3 microfiches.
ID Numbers
Open LibraryOL19298249M
ISBN 100315654422
OCLC/WorldCa29024898

discrete event modeling and simulation Download discrete event modeling and simulation or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get discrete event modeling and simulation book now. This site is like a library, Use search box in the widget to get ebook that you want. Discrete event simulation focuses on the processes in a system at a medium level of abstraction. Typically, specific physical details, such as car geometry or train acceleration, are not represented. Discrete event simulation modeling is widely used in the manufacturing, logistics, and healthcare fields.

Modeling and Simulation of Discrete Event Robotic Systems Using Extended Petri Nets: /ch This chapter deals with modeling, simulation, and implementation problems encountered in robotic manufacturing control systems. Extended Petri nets are. This paper studies control synthesis problems in a new model framework for discrete event state feedback control systems. The new model framework consists of a basis model as well as concurrent models. We study relationships between the basis model and the concurrent models from the perspective of a predicate being controllable and synthesizable.

Download Discrete Event Modeling And Simulation books, Complex artificial dynamic systems require advanced modeling techniques that can accommodate their asynchronous, concurrent, and highly non-linear nature. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models in a. Modeling and Control of Logical Discrete Event Systems is the first book of this kind for the professionals in the area of discrete event systems. The book is also designed for a graduate level course on logical discrete event systems. It contains all the necessary background material in formal language theory and lattice theory.


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State-based discrete-event modeling and control of concurrent systems by Raymond Kin Jeon Wong Download PDF EPUB FB2

Research of discrete event systems is strongly motivated by applications in flex­ ible manufacturing, in traffic control and in concurrent and real-time software verification and design, just to mention a few important areas. Discrete event system theory is a promising and dynamically developing area of both control theory and computer science.

The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queuing theory, discrete-event simulation, and concurrent.

Research of discrete event systems is strongly motivated by applications in flex ible manufacturing, in traffic control and in concurrent and real-time software verification and design, just to mention a few important areas.

Discrete event system theory is a promising and dynamically developing area of both control theory and computer science. Discrete event systems are systems with non.

Complex artificial dynamic systems require advanced modeling techniques that can accommodate their asynchronous, concurrent, and highly non-linear nature. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models in a modular manner, allowing for model re-use and reduced development time.4/5(1).

This paper studies control synthesis problems in a new model framework for discrete event state feedback control systems. The new model framework consists of a basis model as well as concurrent. Discrete event systems is a growing field that utilizes many interesting mathematical models and techniques.

In this book we focus on a high level treatment of discrete event systems. where the order of events. rather than their occurrence times, is the principal concern. Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models in a modular manner, allowing for model re-use and reduced development time.

Discrete Event Modeling and Simulation presents a practical approach focused on the creation of discrete-event applications. The book. A substantial portion of this book is a revised version of Discrete Event Systems: Modeling and Performance Analysis (), written by the first author, received the HAROLD CHESTNUT PRIZE, awarded by the International Federation of Automatic Control (IFAC) for best control.

This book aims at providing a view of the current trends in the development of research on Synthesis and Control of Discrete Event Systems. Papers col­ lected in this volume are based on a selection of talks given in June and July at two independent meetings: the Workshop on Synthesis of Concurrent Systems, held in Newcastle upon Tyne as a satellite event of ICATPN/ICACSD and.

The modeling, simulation, operation, and control of discrete event systems are the primary issues to be investigated. It is of paramount significance and importance to develop novel formal frameworks, analysis techniques, design tools, testing methods, and systematic control and optimization procedures for these kinds of man-made, highly.

Discrete Event systems Specification (DEVS) provides a formal framework for hierarchical construction of discrete-event models in a modular manner, allowing for model re-use and reduced development time. Discrete Event Modeling and Simulation presents a practical approach focused on the creation of discrete-event applications.

supervisory control, Petri net theory, Markov chains and queuing theory, discrete-event simulation, and concurrent estimation techniques. This edition includes recent research results pertaining to the diagnosis of discrete event systems, decentralized supervisory control, and interval-based timed automata and hybrid automata models.

Hardcover. A discrete-event simulation (DES) models the operation of a system as a sequence of events in time. Each event occurs at a particular instant in time and marks a change of state in the system.

Between consecutive events, no change in the system is assumed to occur; thus the simulation time can directly jump to the occurrence time of the next event, which is called next-event time progression.

A substantial portion of this book is a revised version of Discrete Event Systems: Modeling and Performance Analysis (), written by the first author, which received the HAROLD CHESTNUT PRIZE awarded by the International Federation of Automatic Control for best control engineering textbook.

This new expanded book is intended to be a. Choi B and Kang D How to develop your own simulators for discrete-event systems Proceedings of the Winter Simulation Conference, () Liaqat T and Jang Y Simulation analysis of the control point policy for semiconductor fab lines producing multiple part types Proceedings of the Winter Simulation Conference, ().

This paper deals with control system design and implementation problems encountered in multiple robot systems.

The methodology developed is depicted by a set of coordination mechanisms using hierarchical net structures and their accompanying rules. With the net models, the hierarchical and distributed control system is designed for an assembly task. Keywords: Multiple Robot Systems; Concurrent Control; Control System Design; Net Models; Discrete Event Systems.

Introduction. Recently, based on the rapid development of the micro-processor technology, the factory automation systems have been continuing to become more and more large- scaled, complicated, and integrated. The two flows of. The importance of stochastic discrete event systems as a family of models and their applications should be evident from the literature available today and the number of projects based on it.

J.R. Seay, F. You, in Biomass Supply Chains for Bioenergy and Biorefining, Discrete event simulation. Discrete event simulation is a modeling approach widely used in decision support tools for logistics and supply chain management. In the context of biomass supply chains, an early work was presented by Nilsson and Hansson, who developed a simulation model for a biomass supply chain.

The book emphasizes a unified modeling framework that transcends specific application areas, linking the following topics in a coherent manner: language and automata theory, supervisory control, Petri net theory, Markov chains and queueing theory, discrete-event simulation, and concurrent estimation s: 5.

This paper proposes a compositional approach to verifying whether a large discrete event system is nonblocking. The new approach avoids computing the synchronous product of a large set of finite-st.Computer modeling and simulation (MS) allows engineers to study and analyze complex systems.

Discrete-event system (DES)-MS is used in modern management, industrial engineering, computer science, and the military. As computer speeds and memory capacity increase, so DES-MS tools become more powerful and more widely used in solving real-life problems.

Based on over 20 years of .The text uses Petri nets as discrete-event models and structural methods for the syn Supervisory Control of Concurrent Systems: A Petri Net Structural Approach this book presents the theory and practice of using various tools for correct-by-construction design.

These tools can be used to simplify design verification.