1977
DOI: 10.1016/0016-0032(77)90118-1
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A geometrical approach to problems of pursuit-evasion games

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Cited by 14 publications
(9 citation statements)
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“…These definitions with respect to the reachable sets lead to the following proposition, which is an extension of Theorem I in [10], where the authors derive the condition for capture under the assumption of linear dynamics for both players and a finite energy constraint for the controls.…”
Section: Problem Analysis a Reachable Setsmentioning
confidence: 95%
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“…These definitions with respect to the reachable sets lead to the following proposition, which is an extension of Theorem I in [10], where the authors derive the condition for capture under the assumption of linear dynamics for both players and a finite energy constraint for the controls.…”
Section: Problem Analysis a Reachable Setsmentioning
confidence: 95%
“…The algorithm contains the following three steps: 1. Evolution of Forward Reachable Sets: In cases when u ≥v, the forward reachable sets of the pursuer and the evader are evolved by computing the viscosity solutions to the unsteady HJ equations (10) and (11) respectively. These evolutions are carried out until the reachable set of the evader is fully covered by that of the pursuer.…”
Section: Numerical Implementationmentioning
confidence: 99%
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“…Besides the HJI equation approach, another approach researchers have used when dealing with pursuit-evasion problems is based on reachable set analysis [13][14][15]. According to this approach, the reachable state space of the pursuers and the evaders is used to find the optimal controls of the pursuer and/or the evader.…”
Section: Introductionmentioning
confidence: 99%
“…Our approach differs from that in [25] because we do not attempt to solve the pursuit-evasion game directly by solving the corresponding HJI equation. Instead, we generate the forward reachable sets of the players, and we find the optimal time to capture as the first instance when the reachable set of the evader is fully covered by the reachable set of the pursuer [14]. We then identify the first rendezvous point of the players and retrieve the optimal trajectories and controls of both players through backtracking of their respective trajectories [27,28].…”
Section: Introductionmentioning
confidence: 99%