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Thursday, July 23, 2020 | History

2 edition of State-based control of timed discrete event systems using binary decision diagrams. found in the catalog.

State-based control of timed discrete event systems using binary decision diagrams.

Ali Saadatpoor

State-based control of timed discrete event systems using binary decision diagrams.

by Ali Saadatpoor

  • 328 Want to read
  • 11 Currently reading

Published .
Written in English


About the Edition

This thesis discusses a new synthesis approach to the supervisory control of Timed Discrete Event Systems (TDES).The new approach is much more efficient than the existing synthesis approaches. Using this method, many practical systems can be synthesized using a personal computer. Besides, it is shown that the number of nodes in the Binary Decision Diagram (BDD) representing a TDES can be a better measurement of the complexity of the TDES than the number of states and transitions.The structural information of the timers in a given TDES together with the reduction properties of BDDs are exploited to help this new method achieve more efficient performance. The algorithm is based on the fact that each flat structure can be divided into smaller structures.The success of our new approach is illustrated with very large versions of existing examples taken from the literature.

The Physical Object
Pagination78 leaves.
Number of Pages78
ID Numbers
Open LibraryOL19512562M
ISBN 100612953645

Event-Tree Analysis Using Binary Decision Diagrams John D. Andrews and Sarah J. Dunnett Abstract— This paper is concerned with ETA (event-tree anal-ysis) where the branch point event causes are defined using fault trees. Attention is on the nontrivial situation where there are de-pendencies amongst the branch point events. The dependencies. 2. Binary Decision Diagrams 26 BDD concepts A node v of a BDD is characterized by a triple (x, v 0,v 1), where v 0,v 1 are the successors of v v x v 0 v 1 The leaf nodes 0 and 1 represent the Boolean functions 0 and 1 According to Boole's expansion theorem, the Boolean function bf(v) is associated with node v as follows (where.

In recent years, there has been a growing debate, particularly in the UK and Europe, over the merits of using discrete-event simulation (DES) and system dynamics (SD); there are now instances where both methodologies were employed on the same problem. This book details each method, comparing each in terms of both theory and their application to various problem situations. It also provides a. Binary Decision Diagrams: Theory and Implementation [Drechsler, Rolf, Becker, Bernd] on *FREE* shipping on qualifying offers. Binary Decision Diagrams Cited by:

Download PDF: Sorry, we are unable to provide the full text but you may find it at the following location(s): (external link) http. Introduction to Discrete Event Systems Second Edition by Christos G. Cassandras Boston University Stéphane Lafortune The University of MichiganFile Size: 7MB.


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State-based control of timed discrete event systems using binary decision diagrams by Ali Saadatpoor Download PDF EPUB FB2

This work discusses a new synthesis approach to the supervisory control of timed discrete event systems (TDES), that is more efficient than the existing approaches. With this method, many practical systems can be synthesized on a personal computer. The method exploits binary decision diagrams (BDDs), adapted to the specific structure of by: This work discusses a new synthesis approach to the supervisory control of timed discrete event systems (TDES), that is more efficient than the existing approaches.

With this method, many practical. Diagnosis of Discrete-Event Systems using Binary Decision Diagrams Anika Schumann1, Yannick Pencole´1 and Sylvie Thiebaux´ 1,2 Abstract. We improve the efficiency of Sampath’s diagnoser ap-proach by exploiting compact symbolic representations of the sys-tem and diagnoser in terms of binary decision diagrams.

We present. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): We improve the efficiency of Sampath's diagnoser approach by exploiting compact symbolic representations of the system and diagnoser in terms of binary decision diagrams.

We present an algorithm for synthesising the symbolic diagnoser with promising results on test cases derived from a telecommunication. (and sometimes infinite) state systems that relies on a symbolic representation of sets, typically as Binary Decision Diagrams (BDD’s).

• Verification is used in industry for proving the correctness of complex digital circuits (control, arithmetic units, cache coherence), safety-critical software and. This paper describes an approach, which transforms domain specific discrete failure propagation models or physical models into relational models, and performs diagnosis symbolically.

The underlying theory is based on Ordered Binary Decision Diagram (OBDD) representations and related algorithms. State Based Control of Timed Discrete Event Systems using Binary Decision Diagrams Ali Saadatpoor Master of Applied Science Graduate Department of Electrical and Computer Engineering University of Toronto This thesis discusses a new synthesis approach to the supervisory control of Timed Discrete Event Systems (TDES).

Binary Decision Diagrams (BDD) •Concept •Data structure that allows to represent Boolean functions. •The representation is unique for a given ordering of variables. •Structure •BDDs contain “decision nodes” which are labeled with variable names.

•Edges are labeled with input values. The synthesis of state feedback logic for the control problem of maintaining a predicate on the state set of a timed discrete event system is considered in the setting of controlled time Petri nets.

Modular supervisory control of timed discrete-event systems. Proc. of the 32nd Conference on Decision and Control, 3, ­ Brandin, B. and Wonham, W. ().Cited by: 2.

In many real-time applications, such as distributed logic control systems, response time is crucial. The response is generated by computation of Boolean functions. In this paper event-driven method of recomputations is suggested to get rid of computation overheads and provide the response in optimal by: 1.

STCT: An efficient algorithm for supervisory control design This paper introduces a new synthesis approach for the supervisory control of discrete-event systems (DES). Our algorithm, named S(mart)TCT after our software package CTCT hitherto in use, is much more efficient than CTCT.

[J98] A. Saadatpoor, W.M. Wonham. State-based control of timed discrete-event systems using binary decision diagrams. Systems & Control Letters 56(1) Januarypp. [J97] L.

Feng, W.M. Wonham, P.S. Thiagarajan. Designing communicating transaction processes by supervisory control. Binary Decision Diagrams (BDDs) Sanjit A. Seshia EECS, UC Berkeley. 2 • Works for any binary operator.

10 BDDs from Truth Tables Truth Table Binary Decision Tree Binary Decision Diagram (BDD) Ordered Binary Decision Diagram (OBDD) Reduced Ordered Binary Decision Diagram (ROBDD, simply called BDD) 11 Example: Odd Parity Function Binary.

Diagnosis of discrete-event systems using binary decision diagrams. link to publisher version. Statistics; Export Reference to BibTeX; Export Reference to EndNote XMLCited by: 4 Binary Decision Diagrams Binary decision diagrams (BDDs) differ from binary decision trees in two ways.

First, they allow redundant test of boolean variables to be omitted. For example, in the tree for x 1 ^x 2, both branches in the test of x 2 on the left lead to 0, so there really is no need to test x 2 at all. We can simplify thisFile Size: 1MB. This paper describes an approach, which transforms domain specific discrete failure propagation models or physical models into relational models, and performs diagnosis symbolically.

The underlying theory is based on Ordered Binary Decision Diagram (OBDD) representations and related algorithms. Introduction. – Use limited-width relaxed decision diagrams to bound the objective value.

– Use limited-width restricted decision diagrams for primal heuristic – Use a recursive dynamic programming model. – Use novel branching scheme within relaxed decision Size: 2MB.

Introduction to Discrete-Time Control Systems 3 Fig. (b): Digital data signal SAMPLED DATA SYSTEMS A control system where the continuous-time plant is controlled with a digital device is a sampled-data system. Under periodic sampling, the sampled-data system is time-varying but also periodic, and thus.

formal verification, the state space of a discrete system can be explored by representing and manipulating the transition relation and the set of reached states using BDDs [7]. In logic synthesis, BDDs has been used to represent cube covers in Sum of Product (SOP) minimization [37][10].

The use of decision diagrams has led to the development. This is the first book systematically covering the state-of-the-art binary decision diagrams and their extended models, which can provide efficient and exact solutions to reliability analysis of large and complex systems. The book provides both basic concepts and detailed algorithms for modelling and evaluating reliability of a wide range of.Diagnostic methods for engineering systems are typically model-based: functional and/or fault models are used to diagnose the root cause of anomalies.

Discrete models are abstractions of systems in a discretized input, output and state space. These.Discrete Event Systems: Analysis and Control is the proceedings of WODES (the 5th Workshop on Discrete Event Systems, held in Ghent, Belgium, on August).

This book provides a survey of the current state of the art in the field of modeling, analysis and control synthesis of discrete event systems, lecture notes for a mini course on sensitivity analysis for performance evaluation.