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Iterative Learning Control (ILC) is one of the Intelligent Control Systems which improves the transient performance of systems operating in a repetitive manner. After each repetition or batch, the controller learns to produce the best possible control input signal. Convergence analysis of the first order D-type ILC algorithm has been investigated. It generates the control input update for the next batch based on the derivative of the error between the desired and actual outputs during the current batch.