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Conference Papers Year : 2022

Considerations on Two-Phase Averaging of Time-Optimal Control Systems

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Abstract

Averaging is a valuable technique to gain understanding of the long-term evolution of dynamical systems characterized by slow dynamics and fast periodic or quasi-periodic dynamics. Averaging the extremal flow of optimal control problems with one fast variable is possible if a special treatment of the adjoint to this fast variable is carried out. The present work extends these results by tackling averaging of time optimalsystems with two fast variables, that is considerably more complex because of resonances. No general theory is presented, but rather a thorough treatement of an example, based on numerical experiments. After providing a justification of the possibility to use averaging techniques for this problem ``away from resonances'' and discussing compatibility conditions between adjoint variables of the original and averaged systems, we analyze numerically the impact of resonance crossings on the dynamics of adjoint variables. Resonant averaged forms are used to model the effect of resonances and cross them without loosing the accuracy of the averaging prediction.
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Dates and versions

hal-01793704 , version 1 (16-05-2018)
hal-01793704 , version 2 (11-01-2022)
hal-01793704 , version 3 (31-01-2022)
hal-01793704 , version 4 (22-04-2022)

Identifiers

Cite

Lamberto Dell'Elce, Jean-Baptiste Caillau, Jean-Baptiste Pomet. Considerations on Two-Phase Averaging of Time-Optimal Control Systems. IFAC CAO 2022 - 18th Workshop on Control Applications of Optimization, Jul 2022, Gif-sur-Yvette, France. pp.7-12, ⟨10.1016/j.ifacol.2022.08.073⟩. ⟨hal-01793704v4⟩
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