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

نویسندگان

  • Xi Wang
  • Asok Ray
  • Amol M Khatkhate
چکیده

The discrete-event system (DES) behavior of physical plants is often modelled as regular languages that can be realized by deterministic finite state automata (DFSA). The concept and construction of quantitative measures of regular languages have been recently reported in literature, and major applications of the language measure are: quantitative evaluation of the discrete-event dynamic behavior of unsupervised and supervised plants; and analysis and synthesis of optimal supervisory control algorithms in the discreteevent setting. This paper formulates and experimentally validates an on-line parameter identification procedure for the language measure based on a DFSA 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.

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تاریخ انتشار 2003