Iterative learning control for non‐repetitive trajectory tracking of robot manipulators with joint position constraints and actuator faults

DOI10.1002/acs.2734zbMath1366.93404OpenAlexW2529581417MaRDI QIDQ4976364

Xu Jin

Publication date: 28 July 2017

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.2734

zbMATH Keywords

iterative learning controlrobot manipulatoractuator faultsjoint position constraintsnon-repetitive reference trajectory

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Automated systems (robots, etc.) in control theory (93C85) Control/observation systems governed by ordinary differential equations (93C15)

Related Items (8)

Chattering-free adaptive iterative learning for attitude tracking control of uncertain spacecraft ⋮ Adaptive iterative learning control for continuous systems with non‐repetitive uncertainties and unknown state delays ⋮ Adaptive <scp>PID</scp> control of robotic manipulators without equality/inequality constraints on control gains ⋮ Fault-tolerant iterative learning control for mobile robots non-repetitive trajectory tracking with output constraints ⋮ Iterative learning control of multivariable uncertain nonlinear systems with nonrepetitive trajectory ⋮ Global asymptotic regulation control for MIMO mechanical systems with unknown model parameters and disturbances ⋮ Adaptive learning tracking for robot manipulators with varying trial lengths ⋮ Robust adaptive learning for attitude control of rigid bodies with initial alignment errors

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