Fuzzy Finite State Machine for Multivariate Calibration. Application to Near Infra-Red Spectroscopy

Carlos Cernuda; Edwin Lughofer; Wolfgang Märzinger; Thomas Reischer; Jürgen Kasberger

Fuzzy Finite State Machine for Multivariate Calibration. Application to Near Infra-Red Spectroscopy

Carlos Cernuda
, Edwin Lughofer
, Wolfgang Märzinger
, Thomas Reischer
, Jürgen Kasberger

Institute for Mathematical Methods in Medicine and Data Based Modeling

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

In general, in complex dynamic chemical processes, it is feasible to identify different process states in many ways, e.g. because of a cyclic behaviour or using external conditions information, for instance temperature or pressure. This fact permits the definition of a fuzzy finite state machine (FuzzyFSM) [1], in which it is allowed to be in several states at the same time up to certain degree. This flexibility allows us to handle situations where it is not so clear the current system state as well as situations such as transitions between states.

Original language	English
Title of host publication	Proceedings of the EuroPACT Conference 2014
Place of Publication	Barcelona
Number of pages	1
Publication status	Published - 2014

Publication series

Name	Proceedings of the EuroPACT Conference

Fields of science

101 Mathematics
101013 Mathematical logic
101024 Probability theory
102001 Artificial intelligence
102003 Image processing
102019 Machine learning
603109 Logic
202027 Mechatronics

JKU Focus areas

Computation in Informatics and Mathematics
Mechatronics and Information Processing
Nano-, Bio- and Polymer-Systems: From Structure to Function

Cite this

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title = "Fuzzy Finite State Machine for Multivariate Calibration. Application to Near Infra-Red Spectroscopy",

abstract = "In general, in complex dynamic chemical processes, it is feasible to identify different process states in many ways, e.g. because of a cyclic behaviour or using external conditions information, for instance temperature or pressure. This fact permits the definition of a fuzzy finite state machine (FuzzyFSM) [1], in which it is allowed to be in several states at the same time up to certain degree. This flexibility allows us to handle situations where it is not so clear the current system state as well as situations such as transitions between states.",

author = "Carlos Cernuda and Edwin Lughofer and Wolfgang M{\"a}rzinger and Thomas Reischer and J{\"u}rgen Kasberger",

year = "2014",

language = "English",

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Fuzzy Finite State Machine for Multivariate Calibration. Application to Near Infra-Red Spectroscopy. / Cernuda, Carlos; Lughofer, Edwin; Märzinger, Wolfgang et al.
Proceedings of the EuroPACT Conference 2014. Barcelona, 2014. (Proceedings of the EuroPACT Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - Fuzzy Finite State Machine for Multivariate Calibration. Application to Near Infra-Red Spectroscopy

AU - Cernuda, Carlos

AU - Lughofer, Edwin

AU - Märzinger, Wolfgang

AU - Reischer, Thomas

AU - Kasberger, Jürgen

PY - 2014

Y1 - 2014

N2 - In general, in complex dynamic chemical processes, it is feasible to identify different process states in many ways, e.g. because of a cyclic behaviour or using external conditions information, for instance temperature or pressure. This fact permits the definition of a fuzzy finite state machine (FuzzyFSM) [1], in which it is allowed to be in several states at the same time up to certain degree. This flexibility allows us to handle situations where it is not so clear the current system state as well as situations such as transitions between states.

AB - In general, in complex dynamic chemical processes, it is feasible to identify different process states in many ways, e.g. because of a cyclic behaviour or using external conditions information, for instance temperature or pressure. This fact permits the definition of a fuzzy finite state machine (FuzzyFSM) [1], in which it is allowed to be in several states at the same time up to certain degree. This flexibility allows us to handle situations where it is not so clear the current system state as well as situations such as transitions between states.

M3 - Conference proceedings

T3 - Proceedings of the EuroPACT Conference

BT - Proceedings of the EuroPACT Conference 2014

CY - Barcelona

ER -