Abstract
In this paper, we address the problem of guiding an aerial or aquatic vehicle to a fixed target point in a partially uncertain flow-field. We assume that the motion of the vehicle is described by a point-mass linear kinematic model. In addition, the velocity of the flow-field, which is taken to be time varying, can be decomposed into two components: one which is known a priori and another one which is uncertain and only a bound on its magnitude is known. We show that the guidance problem can be reformulated as an equivalent pursuit evasion game with time-varying affine dynamics. To solve the latter game, we propose an extension of a specialized solution approach, which transforms the pursuit–evasion game (whose terminal time is free) via a special state transformation into a family of games with fixed terminal time. In addition, we provide a simple method to visualize the level sets of the value function of the game, along with the corresponding reachable sets. Furthermore, we compare our conservative game-theoretic solution with a pure optimal control solution, for the special case in which the flow-field is perfectly known a priori.
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This work was supported in part by the NSF under Grant 1562339. The first author also acknowledges support from the Zonta International Foundation.
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Communicated by Bruce. A. Conway.
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Selvakumar, J., Bakolas, E. Robust Time-Optimal Guidance in a Partially Uncertain Time-Varying Flow-Field. J Optim Theory Appl 179, 240–264 (2018). https://doi.org/10.1007/s10957-018-1326-1
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DOI: https://doi.org/10.1007/s10957-018-1326-1