Disturbance observer‐based adaptive boundary iterative learning control for a rigid‐flexible manipulator with input backlash and endpoint constraint
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Publication:5000712
DOI10.1002/ACS.3150zbMath1467.93103OpenAlexW3047552100MaRDI QIDQ5000712
Haoping Wang, Yang Tian, Gang Zheng, Xing-Yu Zhou
Publication date: 15 July 2021
Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/acs.3150
Related Items (7)
An LMI approach to robust iterative learning control with initial state learning ⋮ Neural network state observer-based robust adaptive fault-tolerant quantized iterative learning control for the rigid-flexible coupled robotic systems with unknown time delays ⋮ Robust adaptive fault‐tolerant control using RBF‐based neural network for a rigid‐flexible robotic system with unknown control direction ⋮ Adaptive finite‐time super‐twisting sliding mode control for robotic manipulators with control backlash ⋮ Fixed-time bounded H infinity tracking control of a single-joint manipulator system with input saturation ⋮ Super‐twisting sliding mode trajectory tracking adaptive control of wheeled mobile robots with disturbance observer ⋮ Adaptive finite-time fault-tolerant control for flexible-joint robotic stochastic systems with input saturation and sensor fault
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