Diagnostics of continuous technological process based on fuzzy topological identification
About authors
- 1 — Vice Rector Saint Petersburg Electrotechnical University «LETI»
- 2 — associate professor Saint Petersburg Electrotechnical University «LETI»
Abstract
In the article are observed the issues of fuzzy identification of continuous physical and technological processes simulation. Is suggested the new approach to construction of first rank uncertainty models diagnostics based on fuzzy logic.
Область исследования:
(Archived) Technologies in chemistry, concentration and metallurgy. Safety problems
Keywords:
fuzzy logic
processs imulation
fuzzy topological identification
technological process
complex systems
technical diagnosis
Funding:
None
References
- Alekseev A., Korablev J., Shestopalov M. Systems identification and technical diagnostics. Moscow, 2009.
- Vavilov A. Structural and parametric synthesis of complex systems. Leningrad, 1979.
- Vavilov A., Imaev D. Evolutional synthesis of control systems. Leningrad, 1983.
- Eliseeva I., Uzbashev M. General statistics theory:Tutorial / Edited by I.Eliseeva. Moscow, 2002.
- Kobzar A. Applied mathematical statistics. Moscow, 2006.
- Korablev J., Shestopalov M. Identification of technological processes and control on the basis of FUZZY and NEURO-FUZZY technologies: Tutorial.Saint Petersburg, 2007.
- Applied fuzzy systems / Edited by: T. Terano, K. Asai, M. Sugeno. Moscow, 1993.
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