Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4632191 | Applied Mathematics and Computation | 2010 | 8 Pages |
Abstract
We consider an artificial swarm system consisting of multi-agents. The agents may interact with each other based on their relative positions. Each agent exhibits a repulsion/attraction behavior toward another agent, which mimics some biological swarm systems. The performance of each individual agent is the accumulation of these respective considerations toward other agents. The overall performance of the artificial swarm system mimics the aggregation and formation in biological systems. We propose an adaptive robust control for each agent toward achieving the performance. The control can withstand uncertainty, which is time-varying, nonlinear, and without known bound. The controlled system converges to the desirable swarm system performance regardless of the uncertainty.
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Ye-Hwa Chen,