On the Robustness of a Data-driven Optimal ILC method with Data Loss

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Abstract:In this work,the robustness of iterative learning control with random data loss is discussed for a class of general nonlinear systems.The loss of output data from the system sensor to the controller side is considered,and the data loss is described by Bernoulli random variables.The design of the system controller is based on the optimal principle.The strict convergence analysis process is developed with the condition of optimal iterative learning control design.Finally,the validity of the proposed algorithm is verified by numerical simulation.

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