Adaptive Control of Hammerstein Systems with Unknown Input Nonlinearity and Partially Modeled Linear Dynamics
نویسندگان
چکیده
We numerically investigate that an adaptive control law achieves internal model principle control in the presence of plant input nonlinearities. We focus on retrospective cost adaptive control (RCAC) applied to Hammerstein systems with unknown input nonlinearity and limited modeling of the linear dynamics. The goal is to determine whether the control law achieves the correct gain and phase shift for internal stability along with asymptotic command following and disturbance rejection.
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تاریخ انتشار 2016