Aerial Pursuit-Evasion Game Using Nonlinear Model Predictive Guidance

Autor:	H. Jin Kim, Min-Jea Tahk, Seonhyeok Kang
Rok vydání:	2010
Předmět:	Computer Science::Computer Science and Game Theory Nonlinear system Mathematical optimization Current (mathematics) Computer science Stochastic game Control engineering Pursuer Pursuit-evasion Optimal control Gradient descent Action (physics)
Zdroj:	AIAA Guidance, Navigation, and Control Conference.
DOI:	10.2514/6.2010-7880
Popis:	Aerial pursuit-evasion games pose a great challenge in obtaining the analytic solutions for highly nonlinear dynamics of the pursuer and evader. This paper proposes a nonlinear model predictive method as a tool for obtaining the numerical solutions to the pursuitevasion game. In the nonlinear model predictive method, the current control action is obtained by solving a finite-horizon optimal control problem based on nonlinear models of the pursuer and evader. The gradient descent method is implemented for the on-line optimization. Two types of performance measures, distanceand vector-based, are employed for the pursuit-evasion game. The performances under the two payoff functions are compared, and the capture sets for the vector-based payoff function are computed with respect to the varying initial flight path angles of the pursuer and evader.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a0e0a9c1ca0f52513514b87bdccd3a8e https://doi.org/10.2514/6.2010-7880 Zobrazit plný text záznamu