On the Application of the Calculus of Positively Constructed Formulas for the Study of Controlled Discrete-Event Systems

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
A. V. Davydov, A. A. Larionov, N. V. Nagul
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Abstract

The article is devoted to the development of an approach to solving the main problems of the theory of supervisory control of logical discrete-event systems (DES), based on their representation in the form of positively constructed formulas (PCF). We consider logical DESs in automata form, understood as generators of some regular languages. The PCF language is a complete first-order language, the formulas of which have a regular structure of alternating type quantifiers and do not contain a negation operator in the syntax. It was previously proven that any formula of the classical first-order predicate calculus can be represented as a PCF. PCFs have a visual tree representation and a natural question-and-answer procedure for searching for an inference using a single inference rule. It is shown how the PCF calculus, developed in the 1990s to solve some problems of control of dynamic systems, makes it possible to solve basic problems of the theory of supervisory control, such as checking the criteria for the existence of supervisory control, automatically modifying restrictions on the behavior of the controlled system, and implementing a supervisor. Due to some features of the PCF calculus, it is possible to use a non-monotonic inference. It is demonstrated how the presented PCF-based method allows for additional event processing during inference. The Bootfrost software system, or the so-called prover, designed to refute the obtained PCFs is also presented, and the features of its implementation are briefly described. As an illustrative example, we consider the problem of controlling an autonomous mobile robot.

Abstract Image

正构造公式演算在受控离散事件系统研究中的应用
本文致力于发展一种方法来解决逻辑离散事件系统(DES)的监督控制理论的主要问题,基于它们以正构造公式(PCF)的形式表示。我们以自动机的形式考虑逻辑DESs,将其理解为某些常规语言的生成器。PCF语言是一种完全的一阶语言,其公式具有交替类型量词的规则结构,并且在语法中不包含否定运算符。以前证明了经典一阶谓词演算的任何公式都可以表示为PCF。pcf具有可视化的树表示和用于使用单个推理规则搜索推理的自然问答过程。本文展示了20世纪90年代为解决动态系统控制的一些问题而发展起来的PCF演算如何使监督控制理论的基本问题得以解决,如检查监督控制是否存在的准则、自动修改对被控系统行为的限制以及实现一个监督者。由于PCF演算的一些特征,可以使用非单调推理。演示了所提出的基于pcf的方法如何允许在推理期间进行额外的事件处理。本文还介绍了Bootfrost软件系统,即所谓的证明器,用于驳斥已获得的pcf,并简要描述了其实现特点。作为一个说明性的例子,我们考虑控制一个自主移动机器人的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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