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控制理论与应用 2012
Adaptive inverse control of a class of uncertain nonlinear systems with unknown Prandtl-Ishlinskii hysteresis
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Abstract:
Employing the backstepping technique, an adaptive inverse controller is designed for a class of uncertain dynamic nonlinear systems preceded by an unknown Prandtl-Ishlinskii hysteresis. Decomposing the Prandtl-Ishlinskii model into a discrete Prandtl-Ishlinskii operator and a small term of bounded error, we developed an adaptive inverse control algorithm. The designed controller ensures that the closed-loop system for global stability. Finally, the effectiveness of the proposed scheme is demonstrated through a simulation example.