B-Spline Output Feedback Control for Nonlinear Systems

This paper proposes an adaptive B-spline output feedback controller for unknown nonlinear systems with only system output measurement. The controller integrates an error observer and B-spline neural networks into adaptive control design. The error observer is used to estimate the tracking errors through output measurement information, and the B-spline neural networks are utilized to online approximate an unknown control input by adjusting their internal parameters, including control points and knot parameters. In addition, simulation results demonstrate the feasibility of the proposed controller.

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