Backstepping Control for Flexible Joint with Friction Using Wavelet Neural Networks and L2‐Gain Approach

DOI10.1002/asjc.1602zbMath1390.93317OpenAlexW2735263547MaRDI QIDQ4644087

Qingxuan Jia, Ming Chu, Hanxu Sun

Publication date: 30 May 2018

Published in: Asian Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/asjc.1602

zbMATH Keywords

backstepping design techniqueflexible jointfriction compensationwavelet neural networks

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Design techniques (robust design, computer-aided design, etc.) (93B51) Friction in solid mechanics (74M10) Control/observation systems governed by ordinary differential equations (93C15)

Related Items

Sliding Mode Differentiator Based Tracking Control of Uncertain Nonlinear Systems with Application to Hypersonic Flight ⋮ Adaptive Chattering Free Neural Network Based Sliding Mode Control for Trajectory Tracking of Redundant Parallel Manipulators ⋮ Decoupling control for wastewater treatment process based on recurrent fuzzy neural network