High-Order $\mathcal{D}^{\alpha}$ -Type Iterative Learning Control for Fractional-Order Nonlinear Time-Delay Systems

Yong-Hong Lan () and Yong Zhou ()
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Yong-Hong Lan: Xiangtan University
Yong Zhou: Xiangtan University

Journal of Optimization Theory and Applications, 2013, vol. 156, issue 1, No 14, 153-166

Abstract: Abstract This paper presents a high-order $\mathcal{D}^{\alpha}$ -type iterative learning control (ILC) scheme for a class of fractional-order nonlinear time-delay systems. First, a discrete system for $\mathcal{D}^{\alpha}$ -type ILC is established by analyzing the control and learning processes, and the ILC design problem is then converted to a stabilization problem for this discrete system. Next, by introducing a suitable norm and using a generalized Gronwall–Bellman Lemma, the sufficiency condition for the robust convergence with respect to the bounded external disturbance of the control input and the tracking errors is obtained. Finally, the validity of the method is verified by a numerical example.

Keywords: Fractional-order; Nonlinear time-delay system; Iterative learning control; Generalized Gronwall–Bellman lemma (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10957-012-0231-2

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