Title :
A two-player stochastic pursuit-evasion differential game
Author :
Li, Dongxu ; Cruz, Jose B., Jr.
Author_Institution :
Ohio State Univ., Columbus
Abstract :
Due to the increasing use of autonomous aerial vehicles in military applications such as search, surveillance and reconnaissance of mobile targets, the study of (multi-player) pursuit-evasion (PE) differential game has revived. As a basis for studying multi-player games, we focus on a two-player stochastic PE game. Based on the classical differential game theory, we derive the analytical value function for a two-player stochastic PE game using the Dubin´s car model. Moreover, we address the issue of the finite expectation of the capture time in both the perfect and the imperfect state information cases. Sufficient conditions are provided in terms of the players´ speeds, measurement accuracy and the capture range of the pursuer. These results can provide insight for stochastic PE game problems and are useful for solving multi-player games.
Keywords :
game theory; remotely operated vehicles; space vehicles; autonomous aerial vehicles; mobile targets; two-player stochastic pursuit-evasion differential game; Equations; Game theory; Mobile robots; Reconnaissance; Remotely operated vehicles; Stochastic processes; Sufficient conditions; Surveillance; USA Councils; Velocity measurement;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434763