Experimental comparison demonstrating that radial basis activation function choice in neural network disturbance estimators for robotic manipulators shapes adaptation dynamics and practical tracking performance while preserving closed-loop stability.
IEEE Transactions on Artificial Intelligence , volume=
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.SY 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Influence of Radial Basis Activation Functions on Intelligent Controller for Robotic Manipulators
Experimental comparison demonstrating that radial basis activation function choice in neural network disturbance estimators for robotic manipulators shapes adaptation dynamics and practical tracking performance while preserving closed-loop stability.