Quan Quan and Kai-Yuan Cai. Repetitive Control for TORA Benchmark: An Additive-state-decomposition-based Approach. International Journal of Automation and Computing, vol. 12, no. 3, pp. 289-296, 2015. DOI: 10.1007/s11633-015-0885-y
Citation: Quan Quan and Kai-Yuan Cai. Repetitive Control for TORA Benchmark: An Additive-state-decomposition-based Approach. International Journal of Automation and Computing, vol. 12, no. 3, pp. 289-296, 2015. DOI: 10.1007/s11633-015-0885-y

Repetitive Control for TORA Benchmark: An Additive-state-decomposition-based Approach

  • The repetitive control (RC) or repetitive controller problem for nonminimum phase nonlinear systems is both challenging and practical. In this paper, we consider an RC problem for the translational oscillator with a rotational actuator (TORA), which is a nonminimum phase nonlinear system. The major difficulty is to handle both a nonminimum phase RC problem and a nonlinear problem simultaneously. For such purpose, a new RC design, namely the additive-state-decomposition-based approach, is proposed, by which the nonminimum phase RC problem and the nonlinear problem are separated. This makes RC for the TORA benchmark tractable. To demonstrate the effectiveness of the proposed approach, a numerical simulation is given.
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