Identification of non-linear dynamic systems using neuro-fuzzy networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F99%3A00000156" target="_blank" >RIV/00216305:26210/99:00000156 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Identification of non-linear dynamic systems using neuro-fuzzy networks

Original language description

This contribution deals with the design of ANFIS (Adaptive Neuro-Fuzzy Inference System) structure for identification of non-linear dynamic systems. The described approach connects useful properties of fuzzy system (intuitive description of system behaviour) with the learning ability of neural networks. It also substantially eliminates the problem of the optimum neural network topology design. Identification of harmonically excited system with non-linear dumping and stiffness is included as the example.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JD - Use of computers, robotics and its application

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

1999

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Mechatronics and robotics ´99

ISBN

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ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

Institute of Mechatronics

Place of publication

Brno, ČR

Event location

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Event date

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Type of event by nationality

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UT code for WoS article

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