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A conditional iterative learning control (ILC) is derived for uncertain non-linear systems to track repetitive trajectory under the alignment initial condition. The learning of the conditional ILC is performed, only if the tracking error is dominated by the input instead of the initial conditions. The major advantage of this method is that it can simultaneously handle non-parametric uncertainties...
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