Multi-Pursuer Multi-Evader Pursuit-Evasion Games with Jamming Confrontation

Abstract

Existing pursuer-evader (PE) game algorithms do not provide good real-time solutions for situations with the following complexities: (1) multi-pursuer multi-evader, (2) multiple evaders with superior control resources such as higher speeds, and (3) jamming confrontation between pursuers and evaders. This paper introduces a real-time decentralized approach, in which decentralization strategy reduces computational complexity in multi-pursuer multievader situations, cooperative chasing strategy guarantees capture of some superior evaders, and min-max double-sided jamming confrontation provides optimal jamming-estimation strategies under adversarial noisy environments. Extensive simulations confirm the efficiency of this approach.

Game Theoretic Strategies for Spacecraft Rendezvous and Motion Synchronization

“…In [23] a two-pursuer one-evader game is considered and solved. A multi-player pursuit-evasion game with evaders having speed higher than the pursuers is considered in [69,71]. The conventional multi-player pursuit-evasion games assumes that either the pursuers or the evaders are able to have global information of the system.…”

Adaptive pursuit-evasion under adversarial confrontations-part I: Performance-measure statistics in linear-quadratic differential games

“…Being the first of its kind, the research contribution, which extends the recent results in [6]- [8], includes a new forecasting capability for a complete probabilistic description of performance distributions that will affect the consequence factor of pursuit and evasion interactions. In particular, all respective measures of social payouts for stochastic multiplayer pursuit evasion are viewed as random variables with mixed random realizations from uncertain environments.…”

“…There has been a great number of applications that use closed-loop saddle-point equilibria in the literature on deterministic zero-sum differential games [4] and [8]. Due to computational complexities, a complete probabilistic description of performance uncertainty for multiplayer pursuit evasion even in a linear-quadratic framework against stochastic and adversarial elements is less usual.…”

Overview of contextual tracking approaches in information fusion

“…Over the many issues for contextual target tracking, we looked at the variations in the themes and while there is discussion on context awareness (as situation awareness using ontologies and logical networks), there was limited analysis of connections to threat assessment [97] for context inference. Ideas exist for game-theoretic modeling of multiple affiliation entities being tracked [98]; however, there is a need for context-based human, social, cultural, and behavior (HSCB) modeling and assessment [99]. For example, HSCB can be used can be used with road information to isolate which pedestrians, how fast cars are moving on roads, and clutter mitigation that does not conform to social, cultural and behavioral norms which leads to human, animal, vehicle and clutter (HVAC) target categorization.…”