Formation control for a multiple robotic system using adaptive neural network
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
Stability analysis of social foraging swarms
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Towards swarm calculus: universal properties of swarm performance and collective decisions
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
Hi-index | 0.00 |
A mathematic model is established to describe a swarm with multi-behavior. Regarding a swarm designed for cooperative task, we propose a model which includes a macroscopic model and a individual-based model. The macroscopic framework model describes global dynamics of swarms, which is normally expressed by dynamical populations' densities with different behaviors, while the individual-based framework model describes a individual agent's trajectory. Based on these models, we prove that all objects can be collected to the “home” area under conditions of individual agents subject to sensor constraints.