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Neurofuzzy Model-Based Weld Fusion State Estimation

Producción científica: Article › revisión exhaustiva

65 Citas (Scopus)
Idioma originalEnglish
Páginas (desde-hasta)30-42
Número de páginas13
PublicaciónIEEE Control Systems
Volumen17
N.º2
DOI
EstadoPublished - abr 1997

Nota bibliográfica

Funding Information:
The authors are with the Welding Research and Development Labo- ratov, Center for Robotics and Manufacturing Systems, University of Kentucky, Lexington, KY 40506. Email: kovacev @engr:u ky.edu, yzhangOl @ukcc.u ly.edu. A portion of this work waspresentedat the 1996 IEEE International Symposium on Intelligent Control in Dearborn, MI. The work was supported by the National Science Foundation (DMI-9412637 and DMI-9634735) and Allison Engine Company, Indianapolis, IN.

Financiación

The authors are with the Welding Research and Development Labo- ratov, Center for Robotics and Manufacturing Systems, University of Kentucky, Lexington, KY 40506. Email: kovacev @engr:u ky.edu, yzhangOl @ukcc.u ly.edu. A portion of this work waspresentedat the 1996 IEEE International Symposium on Intelligent Control in Dearborn, MI. The work was supported by the National Science Foundation (DMI-9412637 and DMI-9634735) and Allison Engine Company, Indianapolis, IN.

FinanciadoresNúmero del financiador
Allison Engine Company
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of ChinaDMI-9634735, DMI-9412637
U.S. Department of Energy Chinese Academy of Sciences Guangzhou Municipal Science and Technology Project Oak Ridge National Laboratory Extreme Science and Engineering Discovery Environment National Science Foundation National Energy Research Scientific Computing Center National Natural Science Foundation of China

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Modeling and Simulation
    • Electrical and Electronic Engineering

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