Title :
A Decentralized Approach to Pursuer-Evader Games with Multiple Superior Evaders in Noisy Environments
Author :
Wei, Mo ; Chen, Genshe ; Cruz, Jose B. ; Haynes, Leonard S. ; Chang, Mou-Hsiung ; Blasch, Erik
Author_Institution :
Intelligent Autom., Inc., Rockville
Abstract :
Few pursuer-evader (PE) game algorithms allow for real-time applications for (1) multi-pursuer-multi-evader situations, (2) noisy environments, and (3) evaders with superior control resources such as higher speeds. This paper introduces a real-time decentralized approach for such games. A sufficient condition for capturing a superior evader is proposed. A particle filter is applied to the complex non-Gaussian multi-model noise. Simulations confirm the efficiency of this approach.
Keywords :
game theory; particle filtering (numerical methods); complex nonGaussian multimodel noise; multiple superior evaders; particle filter; pursuer-evader game algorithms; real-time decentralized approach; Automation; Biographies; Computational modeling; Computer numerical control; Equations; Level set; Particle filters; Sufficient conditions; Transportation; Working environment noise;
Conference_Titel :
Aerospace Conference, 2007 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
1-4244-0524-6
Electronic_ISBN :
1095-323X
DOI :
10.1109/AERO.2007.353051
