DocumentCode :
2361386
Title :
Modelling of fuzzy discrete event dynamic systems
Author :
Mohun, Mayank
Author_Institution :
Instrum. & Control Eng., Manipal Inst. of Technol., Karnataka, India
fYear :
2005
fDate :
4-7 Jan. 2005
Firstpage :
278
Lastpage :
283
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. 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).
Keywords :
discrete event systems; finite automata; fuzzy logic; fuzzy systems; matrix algebra; programmable controllers; vectors; Hopper feed system; crisp finite automata; event transition matrices; fuzzy automata; fuzzy discrete event dynamic system; fuzzy logic; fuzzy vectors; programmable logic controller; state transition rule; state vectors; Automata; Automatic control; Brightness; Feeds; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Programmable control; Stochastic processes; Tires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensing and Information Processing, 2005. Proceedings of 2005 International Conference on
Print_ISBN :
0-7803-8840-2
Type :
conf
DOI :
10.1109/ICISIP.2005.1529462
Filename :
1529462
Link To Document :
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