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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Qiang Chen Fangzheng Xue |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Autom., Chongqing Univ., Chongqing, China (Qiang Chen; Fangzheng Xue) |
| Abstract | In this work, a novel adaptive iterative learning control scheme is designed for robot manipulators with uncertain parameter and external perturbation under alignment condition. The analysis of convergence of proposed control law is based on composite energy function in the iteration domain containing position tracking error, velocity tracking error and parameter estimation error along both the time and iteration axis. Rigorous analysis indicate that both position tracking error and velocity tracking error converge to zero under alignment condition by compensation for the uncertain disturbances. Simulation results also confirm and verify the effectiveness of the proposed method. |
| Starting Page | 2129 |
| Ending Page | 2134 |
| File Size | 176826 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479937073 |
| e-ISBN | 9781479937080 |
| DOI | 10.1109/CCDC.2014.6852519 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-05-31 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Composite energy function Adaptive systems Robot manipulators Manipulators Adaptive iterative learning control Vectors Trajectory Joints Alignment condition Convergence |
| Content Type | Text |
| Resource Type | Article |
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