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In this paper, we discuss in time domain the convergence of the iterative process for fractional-order nonlinear systems. The PDα-type iterative learning updating laws are considered. Most of the classical fractional-order cases for linear or nonlinear systems fall into the scheme of this paper. A number of numerical simulations are illustrated to validate the concepts.
This paper firstly addresses the convergence analysis of iterative learning control of a class of fractional order nonlinear systems using the generalized Gronwall-Bellman lemma. Detailed problem definition and convergence proof are presented together with an agenda for future research efforts.
This paper introduces the problem of iterative learning control (ILC) for perspective dynamic systems (PDS), referred to as ILC-PDS, where the task is to track a 3-D desired trajectory from information observed on the image plane of an imaging system, such as a camera. Unlike many ILC implementations in motion control applications, which use feedback from encoders, we assume measurements from the...
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