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Case-Study Non-Equilibrium Particle-Dynamics Modeling of Swarm-on-Swarm Engagements.
| 题名： | Case-Study Non-Equilibrium Particle-Dynamics Modeling of Swarm-on-Swarm Engagements. |
| 作者： | Shabaev, A; Lambrakos, S. G; Chichka, D; Howells, C. A. |
| 摘要： | This report describes simulations demonstrating the modeling of swarm engagements using particle-dynamics models and artificial-potentialbased control algorithms. Such control algorithms are based on near-neighbor communication and near-neighbor tracking of noncooperative agents.These laws cause the swarms to mimic the actions of particles whose dynamics are defined by potential functions. The general approach of usingsuch models is similar to that of nonequilibrium molecular-dynamics modeling of mixing dissimilar particulate materials. Swarmengagementscenarios can be complex because of small time-periods of engagement, multiple types of blue-red force interactions, and the requirement ofnear-neighbor target tracking. With respect to particle-dynamics representation of swarm-engagements, fundamental quantities that can representcharacteristics of particles interactions are the defined potential functions, which can be functions of particle-particle separation, the types ofparticles interacting, and type of the interaction. These potential functions can provide formal representation of both deterministic and non-deterministic particle-particle interaction scenarios. The complexity of swarm interactions suggests that such a modeling tool is necessary, andcan be used in creating potential-theory based control algorithms for swarm-on-swarm interactions |
| 总页数： | 18 pages |
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