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EnglishThis paper addresses the problem of designing a global, output error feedback based, adaptive learning control for robotic manipulators with revolute joints and uncertain dynamics. The reference signals to be tracked are assumed to be smooth and periodic with known period. By developing in Fourier series expansion the input reference signals of every joint, an adaptive, output error feedback, learning control is designed which 'learns' the input reference signals by identifying their Fourier coefficients: global asymptotic and local exponential stability of the tracking error dynamics are obtained when the Fourier series expansion of each Input reference signal is finite, while arbitrary small tracking errors are achieved otherwise. The resulting control is not model based and depends only on the period of the reference signals and on some constant bounds on the robot dynamics. © 2006 IEEE.
Liuzzo, S., & Tomei, P. (2006). Global adaptive learning control of robotic manipulators by output error feedback. In 32nd Annual conference on IEEE industrial electronics, IECON 2006 - (pp.3874-3879).
| Autori: | |
| Autori: | Liuzzo, S; Tomei, P |
| Titolo: | Global adaptive learning control of robotic manipulators by output error feedback |
| Nome del convegno: | IECON 2006 - 32nd Annual conference on IEEE industrial electronics |
| Luogo del convegno: | Paris |
| Anno del convegno: | 2006 |
| Rilevanza: | Rilevanza internazionale |
| Sezione: | contributo |
| Data di pubblicazione: | 2006 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/IECON.2006.347556 |
| Settore Scientifico Disciplinare: | Settore ING-INF/04 - Automatica |
| Lingua: | English |
| Tipologia: | Intervento a convegno |
| Citazione: | Liuzzo, S., & Tomei, P. (2006). Global adaptive learning control of robotic manipulators by output error feedback. In 32nd Annual conference on IEEE industrial electronics, IECON 2006 - (pp.3874-3879). |
| Appare nelle tipologie: | 02 - Intervento a convegno |
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