Retrospective Cost Adaptive NARMAX Control of Hammerstein Systems with Ersatz Nonlinearities
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چکیده
In this paper, we generalize retrospective cost adaptive NARMAX control (RCANC) to a command-following problem for uncertain Hammerstein systems. In particular, RCANC with ersatz nonlinearities is applied to linear systems cascaded with input nonlinearities. We assume that one Markov parameter of the linear plant is known. RCANC also uses knowledge of the monotonicity properties of the input nonlinearity to select the ersatz nonlinearity. The goal is to determine whether RCANC can improve the command-following performance compared to the linear RCAC controller.
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تاریخ انتشار 2013