×

zbMATH — the first resource for mathematics

Fuzzy modeling of complex systems. (English) Zbl 0738.93048
Summary: The paper deals with a fuzzy approach to the control of nonlinear systems. The concept of the quasilinear fuzzy model (QLFM) of a dynamic nonlinear system is introduced, and the problem of its identification, state-space, and transfer function representation is discussed. A numerical example of the application of the proposed approach for modeling a fermentation process is also presented.

MSC:
93C42 Fuzzy control/observation systems
93C10 Nonlinear systems in control theory
PDF BibTeX XML Cite
Full Text: DOI
References:
[1] Takagi, T.; Sugeno, M., Fuzzy identification of systems and its applications to modelling and control, IEEE trans. SMC, 15, 116-132, (1985) · Zbl 0576.93021
[2] Sugeno, M.; Kang, G., Fuzzy modelling and control of multilayer incinerator, Fuzzy sets syst., 18, 329-346, (1986) · Zbl 0612.93022
[3] Maeda, M.; Murakami, S., A design for a fuzzy logic controller, Inf. sci., 45, 315-330, (1988) · Zbl 0662.93004
[4] Filev, D., Modelling of complex systems via fuzzy sets, (), 199-202
[5] Filev, D., Fuzzy modelling of complex systems, (), 245-246
[6] Rajbman, N.S., Extensions to nonlinear and minimax approaches, (), 196-213
[7] Peterka, V., Bayesian approach to system identification, (), 302
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.