This paper applies the idea of forced recurrence to demonstrate controllability and stabilizability of a single-input juggling system. Nonlinear optimization is used to find controls in a neighborhood of the recurrent controls that drive the system toward the goal trajectory. The approach is demonstrated on an experimental juggling system.
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