Last edited by Fer
Friday, July 31, 2020 | History

8 edition of Quantitative Measure for Discrete Event Supervisory Control found in the catalog.

Quantitative Measure for Discrete Event Supervisory Control

  • 154 Want to read
  • 13 Currently reading

Published by Springer .
Written in English


Edition Notes

ContributionsAsok Ray (Editor), Vir V. Phoha (Editor), Shashi Phoha (Editor)
The Physical Object
Number of Pages264
ID Numbers
Open LibraryOL7442368M
ISBN 100387021086
ISBN 109780387021089

A structural approach to the non-blocking supervisory control of discrete-event systems Lei Feng & Kai Cai & W. M. Wonham Received: 27 November /Accepted: 29 April /Published online: 3 June # Springer-Verlag London Limited Abstract Many practical and important systemic properties of manufacturing systems, like deadlock. supervisory control of probabilistic discrete event systems (PDESs). In that work, a pseudo-metric on the initial states of two probabilistic automata that represent probabilistic systems is used to measure the distance between two systems. The pseudometric is given a fixed point characterization.

Discrete Event Systems Modelling and Supervisory Control unique system state. Here we are dealing with the deterministic systems only. A discrete-event system is said to be non-blocking if. I $ $ $ $ $ $($) $ $) $ = L(G). It means that there always exists a sequence of events which takes the plant from any state to marker state. QUANTITATIVELY-OPTIMAL COMMUNICATION PROTOCOLS FOR DECENTRALIZED SUPERVISORY CONTROL OF DISCRETE-EVENT SYSTEMS Md Waselul Haque Sadid A thesis in The Department of Electrical and Computer Engineering Presented in Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy Concordia University Montr´eal, Qu ´ebec, Canada.

Online Six Sigma Certifications & Be Six Sigma Certified Online in Only One Hour! Join 1M+ Professionals in Six Sigma Institute Community. Get info packs, practical tactics, exciting surprises and more, so you can GROW further in your CAREER. By providing outstanding Six Sigma services relevant to your employers and clients! Partially-Observed Discrete-Event Systems: Introduction and Recent Advances Department of Automation, Shanghai Jiao-Tong University , Shanghai, China (UMich) SJTU May EECS Department, University of Michigan.


Share this book
You might also like
The Lancaster manual

The Lancaster manual

Thus spake the Mahatma

Thus spake the Mahatma

Pecos National Historical Park Act

Pecos National Historical Park Act

Worked examples in statistical inference

Worked examples in statistical inference

boy who saw God

boy who saw God

Tall, dark and deadly

Tall, dark and deadly

new new world

new new world

Dimensions of the healing ministry

Dimensions of the healing ministry

Holt Mathematics

Holt Mathematics

Stampography

Stampography

Enlightenment Evidence

Enlightenment Evidence

Centralizing or decentralizing?

Centralizing or decentralizing?

Principals as intrapreneurs

Principals as intrapreneurs

Christian God

Christian God

To the freemen of the Northern-Liberties

To the freemen of the Northern-Liberties

Toward active living

Toward active living

Quantitative Measure for Discrete Event Supervisory Control Download PDF EPUB FB2

Quantitative Measure for Discrete Event Supervisory Control presents a novel method for discrete-event decision and control of complex systems, and provides applications for burgeoning technological needs in engineering (i.e., multi-agent human and robotic systems, aircraft, and electric power generation systems), as well as control of software.

"Quantitative Measure for Discrete Event Supervisory Control presents a novel method for discrete event decision and control of complex systems, and provides applications for burgeoning technological needs in engineering (i.e., multi-agent human and robotic systems, aircraft, and electric power generation systems), as well as control of software systems and malicious executables.

Note: If you're looking for a free download links of Quantitative Measure for Discrete Event Supervisory Control Pdf, epub, docx and torrent then this site is not for you. only do ebook promotions online and we does not distribute any free download of ebook on this site. The major objectives here are to present a) a quantitative approach, supported by a formal theory, for discrete-event decision and control of human-engineered complex systems; and b) a set of applications to emerging technological areas such as control of software systems, malicious executables, and complex engineering systems.

A novel feature of this approach is to generate discrete-event robust optimal decision and control algorithms for both military and commercial systems. Quantitative Measure for Discrete Event Supervisory Control (Paperback)Brand: Asok Ray; Vir V Phoha; Shashi Phoha.

read and download for free here ?book=Read Quantitative Measure for Discrete Event Supervisory Control Ebook Free. Quantitative Measure for Discrete Event Supervisory Control Edited by Asok Ray Vir V.

Phoha Shashi Phoha Springer. Quantitative Measure for Discrete Event Supervisory Control, Robust Optimal Control of Regular Languages.

Quantitative Measure for Discrete Event Supervisory Control, Cited by: P.J. Ramadge and W.M. Wonham, Supervisory control of a class of discrete event processes, SIAM J. Control and Optimization 25 (), no. 1, – zbMATH CrossRef MathSciNet Google Scholar I.

Ulrich and J. Borenstein, Vfh+: reliable obstacle avoidance for fast mobile robots, Proceedings of the IEEE International Conference on Cited by: 2. The concept of language measure provides a mathematical framework for quantitative analysis and synthesis of discrete event supervisory control systems.

Quantitative Measure for Discrete Event Supervisory Control presents a novel method for discrete-event decision and control of complex systems, and provides applications for burgeoning. () A language measure for performance evaluation of discrete-event supervisory control systems.

Applied Mathematical Modelling() Optimal supervisory control of Cited by: The supervisory control theory (SCT), also known as the Ramadge–Wonham framework (RW framework), is a method for automatically synthesizing supervisors that restrict the behavior of a plant such that as much as possible of the given specifications are plant is assumed to spontaneously generate events.

The events are in either one of the following two categories. Selmic, Vir V Phoha, A. Serwadda, Wireless Sensor Networks: Security, Localization, and Coverage, ISBN Springer G.

Vert, S. Iyengar, and. CONTROLOF DISCRETE EVENT PROCESSES bethe set ofall binary assignmentsto the elements ofZc. Eachassignment y F, i.e., eachfunction y Zc->{0, 1}, is a controlpattern.

Anevent (with label) tr is said to be enabled by y if y(tr)=1, or disabled by y if y(r)=0. It is convenient to extend each y Fto a map y:X->{0, 1} by defining y(r) 1 for each cr X 6 XxQ--> Qis the transition function of fg.

Use of a Metric in Supervisory Control of Probabilistic Discrete Event Systems Vera Pantelic and Mark Lawford SQRL, Department of Computing and Sofware, Faculty of Engineering, McMaster University, Hamilton, ON, Canada L8S 4K1 (e-mail: pantelv at mcmaster dot ca, lawford at mcmaster dot ca) Abstract: This work represents a natural extension of our work on optimal probabilistic supervisory Cited by: 4.

Quantitative measurement is measurement of data that can be put into numbers. The goal of quantitative measurement is to run statistical analysis, so data has to be in numerical form.

L I I c he year is a convenient point of departure for supervisory control of discrete-event syste s (S S) in the current sense. y that ti e the broad field kno n as ‘ odern’ syste s control that had evolved over the previous 20 years as ell-established, on the basis of the five funda ental concepts of feedback, stability Cited by: 7.

UNESCO – EOLSS SAMPLE CHAPTERS CONTROL SYSTEMS, ROBOTICS AND AUTOMATION - Vol. XV - Supervisory Control Of Discrete Event Systems - Stéphane Lafortune ©Encyclopedia of Life Support Systems (EOLSS) supervisor; Euo is the set of unobservable events: these are the events that cannot be seen by the supervisor.

Observe that no specific assumptions are made about the relation between the. Chattopadhyay and A. Ray, "A language measure for partially observed discrete event supervisory control systems", 43rd IEEE Conference on Decision and Control,pp Vol I.

Chattopadhyay Asok Ray and Xi Wang, "A complex measure of non-regular languages for discrete-event supervisory control", American Control Conference. Dead beat control Deadband Decision theory Defined process Derivation of the Routh array Differential game Digital control Discrete event dynamic system Discretization Double integrator Dual control theory Dynamic simulation Empirical process Energy-shaping control Epistemic feedback Falling cat problem Fault detection and isolation Feed.ings of the 9th International Workshop on Discrete Event Systems, Maypp.

[5] S. Miremadi, K. Åkesson, M. Fabian, A. Vahidi and B. Lennartson. Solv-ing two supervisory control benchmark problems using Supremica.

In Proceedings of the 9th International Workshop on Discrete Event Systems, Maypp. Ortogero, Travis, Asok Ray, and Shashi Phoha, "Validation of a language measure for discrete event supervisory control," The American Control Conference (ACC ), Denver, Colorado, pp.June