Model of Adaptive Neuro-Fuzzy Scale for Evalutation of Diagnostics Parameters of Heterogeneous Robotic System

Autor: A.G. Volkov, V.I. Goncharenko
Rok vydání: 2019
Předmět:
Zdroj: 2019 1st International Conference on Control Systems, Mathematical Modelling, Automation and Energy Efficiency (SUMMA).
DOI: 10.1109/summa48161.2019.8947517
Popis: This paper proposes a new approach to evaluating diagnostics parameters of a complex engineering system. The approach is based on a comprehensive evaluation model in form of adaptive neuro-fuzzy scale. The application of the model is directed to the solution of problems of identifying the type of technical condition of a heterogeneous robotic system.
Databáze: OpenAIRE
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