Abstract:Abstract-In this paper, a new algorithm for an adaptive PI controller for nonlinear systems subject to stochastic nonGaussian disturbance is studied. The minimum entropy control is applied to decrease the closed-loop tracking error on an ILC basis. The key issue here is to divide the control horizon into a number of equal time intervals called batches. Within each interval, there are a fixed number of sample points. The design procedure is divided into two main algorithms, within each batch and between any two… Show more
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