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- W2914246918 abstract "The efficacy of the so-called sensitivity function in developing desensitized optimal control schemes is studied. A sensitivity function provides information about the first order variation of the state under parameter variations at a given time instant along a trajectory. It is demonstrated that the sensitivity function can be employed to effectively desensitize either an optimal trajectory or the state at a particular time instant (for example, the final state) along the optimal trajectory. Zermelo's path optimization problem is chosen to test the theory. Monte-Carlo simulations are carried out, validating the key idea. The limitations of the proposed approach are identified and the possibilities for future work are discussed." @default.
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- W2914246918 date "2018-12-01" @default.
- W2914246918 modified "2023-09-29" @default.
- W2914246918 title "Trajectory Desensitization in Optimal Control Problems" @default.
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- W2914246918 doi "https://doi.org/10.1109/cdc.2018.8619577" @default.
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