Modelling of fuzzy discrete event dynamic systems

Mayank Mohun

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

Abstract

Discrete Event Dynamic Systems (DEDS), are systems which change state over time, based on current state and state transition rules. Each state is separated from its neighbour by a step rather than a continuum of infinitesimal states. This continuum in DEDS needs a representation between 0 and 1. The application of fuzzy logic in defining and modelling the DEDS is suggested as a possible solution because the nature of DEDS may be asynchronous, distributed, parallel non-deterministic and/or stochastic. This results in the generalisation of crisp finite automata into fuzzy automata for a DEDS. In this paper, a DEDS in the form of Hopper Feed System is considered [4]. The system is reformulated using state vectors and event transition matrices and is extended to fuzzy vectors and matrices. An algorithm is proposed for the final control action to be implemented using a Programmable Logic Controller (PLC).

Original languageEnglish
Title of host publicationProceedings of 2005 International Conference on Intelligent Sensing and Information Processing, ICISIP'05
Pages278-283
Number of pages6
Volume2005
DOIs
Publication statusPublished - 01-12-2005
Externally publishedYes
Event2nd International Conference on Intelligent Sensing and Information Processing, ICISIP'05 - Chennai, India
Duration: 04-01-200507-01-2005

Conference

Conference2nd International Conference on Intelligent Sensing and Information Processing, ICISIP'05
CountryIndia
CityChennai
Period04-01-0507-01-05

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Mohun, M. (2005). Modelling of fuzzy discrete event dynamic systems. In Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, ICISIP'05 (Vol. 2005, pp. 278-283). [1529462] https://doi.org/10.1109/ICISIP.2005.1529462