Modelling of fuzzy discrete event dynamic systems

Mayank Mohun

doi:10.1109/ICISIP.2005.1529462

Modelling of fuzzy discrete event dynamic systems

Mayank Mohun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, ICISIP'05
Pages	278-283
Number of pages	6
Volume	2005
DOIs	https://doi.org/10.1109/ICISIP.2005.1529462
Publication status	Published - 01-12-2005
Externally published	Yes
Event	2nd International Conference on Intelligent Sensing and Information Processing, ICISIP'05 - Chennai, India Duration: 04-01-2005 → 07-01-2005

Conference

Conference	2nd International Conference on Intelligent Sensing and Information Processing, ICISIP'05
Country/Territory	India
City	Chennai
Period	04-01-05 → 07-01-05

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1109/ICISIP.2005.1529462

Cite this

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title = "Modelling of fuzzy discrete event dynamic systems",

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).",

author = "Mayank Mohun",

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booktitle = "Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, ICISIP'05",

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AU - Mohun, Mayank

PY - 2005/12/1

Y1 - 2005/12/1

N2 - 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).

AB - 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).

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DO - 10.1109/ICISIP.2005.1529462

M3 - Conference contribution

AN - SCOPUS:33750181007

SN - 0780388402

SN - 9780780388406

VL - 2005

SP - 278

EP - 283

BT - Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, ICISIP'05

T2 - 2nd International Conference on Intelligent Sensing and Information Processing, ICISIP'05

Y2 - 4 January 2005 through 7 January 2005

ER -

Modelling of fuzzy discrete event dynamic systems

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