A Nonlinear Iterative Learning Controller for a Finite-Time Convergence against Initial State Error
نویسندگان
چکیده
In this paper, a nonlinear iterative learning control(ILC) algorithm is proposed for a LTI system and it is shown that the e ect of the initial state error can be reached to zero in a given nite time. It is also shown that the bound of error reduction can be e ectively contrlled by tuning gains of the proposed controller. In order to con rm validity of the proposed ILC algorithm, an example is presented.
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