8000 TRV: sphinx documentation typo · python-control/python-control@2782228 · GitHub
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TRV: sphinx documentation typo
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doc/optimal.rst

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@@ -66,7 +66,7 @@ intended to hold at all instants in time along the trajectory.
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A common use of optimization-based control techniques is the implementation
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of model predictive control (also called receding horizon control). In
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model predict control, a finite horizon optimal control problem is solved,
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model predictive control, a finite horizon optimal control problem is solved,
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generating open-loop state and control trajectories. The resulting control
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trajectory is applied to the system for a fraction of the horizon
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length. This process is then repeated, resulting in a sampled data feedback

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