Regular Papers
International Journal of Control, Automation and Systems 2016; 14(4): 957-966
Published online August 4, 2016
https://doi.org/10.1007/s12555-014-0500-y
© The International Journal of Control, Automation, and Systems
Adaptive Control of Hammerstein Systems with Unknown Input Nonlinearity and Partially Modeled Linear Dynamics
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.
Keywords Adaptive control, nonlinear systems.
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Regular Papers
International Journal of Control, Automation and Systems 2016; 14(4): 957-966
Published online August 1, 2016 https://doi.org/10.1007/s12555-014-0500-y
Copyright © The International Journal of Control, Automation, and Systems.
Adaptive Control of Hammerstein Systems with Unknown Input Nonlinearity and Partially Modeled Linear Dynamics
Mohammad Al Janaideh* and Dennis S. Bernstein
University of Jordan
Abstract
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.
Keywords: Adaptive control, nonlinear systems.
Vol. 22, No. 12, pp. 3545~3811
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