This research presents both theoretical foundation and numerical simulation work for design and analysis of a multi-agent dynamic system on the collective formation behavior patterns of grouped agents. A mass model with tunable control parameters is proposed. This model can realistically represent the aggregation pattern and the formation shape of multiple agents. Stability analysis is also provided to prove the stability of the second-order dynamic system. Several simulations will also be given according to the proposed model to show the aggregation patterns. The research on self-organizing characteristics of collective agent behaviors has a wide range of applications in nature and engineering. The formation such as a flock of birds, a school of fish, or a swarm of locusts, is the emergence of ordered state in which the moving agents can organize as formation. Design and control of the self-organizing dynamic system has implications on wireless general design of mobile sensor networks, sensor network data fusion, attitude alignment of satellite clusters and congestion control of communication networks. / Electrical and Computer Engineering
| Identifer | oai:union.ndltd.org:TEMPLE/oai:scholarshare.temple.edu:20.500.12613/961 |
| Date | January 2010 |
| Creators | Cheng, Zhao |
| Contributors | Bai, Li, Biswas, Saroj K., Wu, Jie, 1961- |
| Publisher | Temple University. Libraries |
| Source Sets | Temple University |
| Language | English |
| Detected Language | English |
| Type | Thesis/Dissertation, Text |
| Format | 66 pages |
| Rights | IN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available., http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | http://dx.doi.org/10.34944/dspace/943, Theses and Dissertations |
Page generated in 0.0643 seconds