On-line Identification of Language Measure Parameters for Discrete Event Supervisory Control

Xi Wang, Asok Ray, Amol M. Khatkhate

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Scopus citations

    Abstract

    The concept and construction of quantitative measures of regular languages have been recently reported in literature. Major applications of the language measure include quantitative analysis and synthesis of discrete-event supervisory control algorithms. This paper formulates and experimentally validates an on-line parameter identification procedure for the language measure based on a deterministic finite state automaton model of the physical plant. The recursive algorithm of this identification procedure relies on observed simulation and/or experimental data. Efficacy of the language parameter identification procedure is demonstrated for real-time supervisory control by experiments on a mobile robotic system.

    Original languageEnglish (US)
    Title of host publicationProceedings of the IEEE Conference on Decision and Control
    Pages6307-6312
    Number of pages6
    DOIs
    StatePublished - Dec 1 2003
    Event42nd IEEE Conference on Decision and Control - Maui, HI, United States
    Duration: Dec 9 2003Dec 12 2003

    Publication series

    NameProceedings of the IEEE Conference on Decision and Control
    Volume6
    ISSN (Print)0191-2216

    Other

    Other42nd IEEE Conference on Decision and Control
    CountryUnited States
    CityMaui, HI
    Period12/9/0312/12/03

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Modeling and Simulation
    • Control and Optimization

    Fingerprint Dive into the research topics of 'On-line Identification of Language Measure Parameters for Discrete Event Supervisory Control'. Together they form a unique fingerprint.

    Cite this