Introducing validity into self-organizing fuzzy neural network applied to impedance force control

DOI10.1016/J.FSS.2017.09.007zbMath1397.93124OpenAlexW2757147099MaRDI QIDQ1794880

Farnaz Sabahi

Publication date: 16 October 2018

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2017.09.007

zbMATH Keywords

uncertaintyvalidityfuzzy neural networkrobot manipulatorimpedance force control

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Fuzzy control/observation systems (93C42) Automated systems (robots, etc.) in control theory (93C85)

Related Items (3)

A multicriteria group decision-making method based on AIVIFSs, Z-numbers, and trapezium clouds ⋮ A novel method to research linguistic uncertain Z-numbers ⋮ A robust direct adaptive fuzzy control for a class of uncertain nonlinear MIMO systems

Cites Work

• Toward extended fuzzy logic -- a first step
• Fuzzy logic -- a personal perspective

This page was built for publication: Introducing validity into self-organizing fuzzy neural network applied to impedance force control