Recurrent fuzzy wavelet neural network variable impedance control of robotic manipulators with fuzzy gain dynamic surface in an unknown varied environment
DOI10.1016/J.FSS.2020.05.001zbMath1467.93222OpenAlexW3031256685MaRDI QIDQ2049237
Bruno Siciliano, Farid Sheikholeslam, Maryam Zekri, Mario Selvaggio, Fanny Ficuciello, Mohammad Hossein Hamedani
Publication date: 24 August 2021
Published in: Fuzzy Sets and Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.fss.2020.05.001
robotic manipulatorfuzzy dynamic surface controlintelligent impedance controlrecurrent fuzzy wavelet neural networks
Fuzzy control/observation systems (93C42) Automated systems (robots, etc.) in control theory (93C85) Variable structure systems (93B12) Robot dynamics and control of rigid bodies (70E60)
Related Items (2)
Cites Work
- Training wavelet networks for nonlinear dynamic input-output modeling
- Fuzzy unidirectional force control of constrained robotic manipulators
- Adaptive stabilization and tracking control of a nonholonomic mobile robot with input saturation and disturbance
- Dynamic surface control for a class of nonlinear systems
- Intelligent tracking control of a dual-arm wheeled mobile manipulator with dynamic uncertainties
- Impedance Control: An Approach to Manipulation: Part II—Implementation
- Robust control of dynamically interacting systems
- Iterative learning of impedance control from the viewpoint of passivity
- Dynamic modeling and vibration control for a nonlinear 3‐dimensional flexible manipulator
- Adaptive dynamic surface control: A simplified algorithm for adaptive backstepping control of nonlinear systems
This page was built for publication: Recurrent fuzzy wavelet neural network variable impedance control of robotic manipulators with fuzzy gain dynamic surface in an unknown varied environment
