连续Petri网的复杂度分析

IF 0.4 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Estíbaliz Fraca, S. Haddad
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引用次数: 39

摘要

在八十年代末,连续Petri网被引入:1减轻由离散Petri网(即通常的Petri网)引发的组合爆炸,2模拟状态由连续变量组成的物理系统的行为。从那时起,一些工作已经确定,在这个框架下,决定Petri网的一些标准行为属性的计算复杂性降低了。在这里,我们首先建立了可覆盖性、有界性和可达集包含等附加性质的可判定性。我们还为可达性和极限可达性问题设计了新的决策过程,具有更好的计算复杂度。最后给出了描述可达性、可覆盖性、有界性、死锁自由性和活性问题的精确复杂度类的下界。介绍了一个小型案例研究,并对这些新程序进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Complexity Analysis of Continuous Petri Nets
At the end of the eighties, continuous Petri nets were introduced for: 1 alleviating the combinatory explosion triggered by discrete Petri nets i.e. usual Petri nets and, 2 modelling the behaviour of physical systems whose state is composed of continuous variables. Since then several works have established that the computational complexity of deciding some standard behavioural properties of Petri nets is reduced in this framework. Here we first establish the decidability of additional properties like coverability, boundedness and reachability set inclusion. We also design new decision procedures for reachability and lim-reachability problems with a better computational complexity. Finally we provide lower bounds characterising the exact complexity class of the reachability, the coverability, the boundedness, the deadlock freeness and the liveness problems. A small case study is introduced and analysed with these new procedures.
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来源期刊
Fundamenta Informaticae
Fundamenta Informaticae 工程技术-计算机:软件工程
CiteScore
2.00
自引率
0.00%
发文量
61
审稿时长
9.8 months
期刊介绍: Fundamenta Informaticae is an international journal publishing original research results in all areas of theoretical computer science. Papers are encouraged contributing: solutions by mathematical methods of problems emerging in computer science solutions of mathematical problems inspired by computer science. Topics of interest include (but are not restricted to): theory of computing, complexity theory, algorithms and data structures, computational aspects of combinatorics and graph theory, programming language theory, theoretical aspects of programming languages, computer-aided verification, computer science logic, database theory, logic programming, automated deduction, formal languages and automata theory, concurrency and distributed computing, cryptography and security, theoretical issues in artificial intelligence, machine learning, pattern recognition, algorithmic game theory, bioinformatics and computational biology, quantum computing, probabilistic methods, algebraic and categorical methods.
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