Tracking-in-range Formulations for Numerical Optimal Control
CoRR(2024)
摘要
In contrast to set-point tracking which aims to reduce the tracking error
between the tracker and the reference, tracking-in-range problems only focus on
whether the tracker is within a given range around the reference, making it
more suitable for the mission specifications of many practical applications. In
this work, we present novel optimal control formulations to solve
tracking-in-range problems, for both problems requiring the tracker to be
always in range, and problems allowing the tracker to go out of range to yield
overall better outcomes. As the problem naturally involves discontinuous
functions, we present alternative formulations and regularisation strategies to
improve the performance of numerical solvers. The extension to in-range
tracking with multiple trackers and in-range tracking in high dimensional space
are also discussed and illustrated with numerical examples, demonstrating
substantial increases in mission duration in comparison to traditional
set-point tracking.
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