Learning impedance control for physical robot–environment interaction
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Publication:5745567
DOI10.1080/00207179.2011.642309zbMath1282.93188OpenAlexW2031185015WikidataQ56419146 ScholiaQ56419146MaRDI QIDQ5745567
Chenguang Yang, Shuzhi Sam Ge, Ya-Nan Li
Publication date: 30 January 2014
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2011.642309
Learning and adaptive systems in artificial intelligence (68T05) Automated systems (robots, etc.) in control theory (93C85)
Related Items (6)
Robust impedance control of robot manipulators using differential equations as universal approximator ⋮ On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters ⋮ A brief review of neural networks based learning and control and their applications for robots ⋮ Neural learning impedance control of lower limb rehabilitation exoskeleton with flexible joints in the presence of input constraints ⋮ Backstepping Nussbaum gain dynamic surface control for a class of input and state constrained systems with actuator faults ⋮ Impedance adaptation for optimal robot–environment interaction
Cites Work
- Fuzzy unidirectional force control of constrained robotic manipulators
- Adaptive iterative learning control for robot manipulators
- Impedance Control: An Approach to Manipulation: Part I—Theory
- Robust control of dynamically interacting systems
- Stability analysis of position and force control for robot arms
- Direct adaptive impedance control of robot manipulators
- Robust learning control for robotic manipulators with an extension to a class of non-linear systems
- Stability and Performance Limits of Interaction Controllers
- Adaptive Repetitive Control for a Class of Nonlinearly Parametrized Systems
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