Abstract
Due to the limitations of sensors, each member of a decentralized system can only deal with local information respectively. A description of local relationship within formation pattern is proposed in this paper. Furthermore, a NN control approach with robust term is proposed to control individual motion. By using such individual control method, all robots will finally form a unique formation. Based on properties of such control strategy, we propose a modified artificial potential approach to realize obstacle avoidance.
| Original language | English |
|---|---|
| Pages (from-to) | 228-233 |
| Number of pages | 6 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3498 |
| Issue number | III |
| Publication status | Published - 26 Sept 2005 |
| Externally published | Yes |
| Event | Second International Symposium on Neural Networks: Advances in Neural Networks - ISNN 2005 - Chongqing, China Duration: 30 May 2005 → 1 Jun 2005 |
ASJC Scopus subject areas
- Computer Science (miscellaneous)