TY - GEN
T1 - Splitting rigid formations
AU - Ong, Wilson
AU - Yu, Changbin
AU - Anderson, Brian D.O.
PY - 2009
Y1 - 2009
N2 - Consider a network of sensors able to move in 2-dimensional space. We may aim to impose distance constraints between certain sensors to ensure every pair of sensors maintain their distance from one another under any continuous movement. This property is known as rigidity. Rigidity may be required to ensure that no sensor will move out of range of any other sensor during movement. However, there arise situations which require us to decompose a rigid formation into two or more rigid sub-formations, perhaps to avoid an obstacle, to pursue different missions, or to allow merging of part of the original formation with another formation. The paper demonstrates that it is not always possible to decompose a rigid formation into rigid sub-formations without adding new distance constraints. The paper also discusses how to decompose a formation into connected but not necessarily rigid sub-formations (to which edges could be added to ensure rigidity of the sub-formations). We show it is always possible to decompose a rigid formation into two connected sub-formations, one of which has arbitrary order, without the addition of any new distance constraints, and we present an algorithm to do this. Although the sub-formations may not be rigid, the connectedness property ensures that no agent or group of agents can deviate too far away from the rest of the agents in the same connected component, and any agent can communicate with any other agent (perhaps via intermediate agents) in the same sub-formation. This will allow rigidity to be recovered within each connected sub-formation by applying existing algorithms.
AB - Consider a network of sensors able to move in 2-dimensional space. We may aim to impose distance constraints between certain sensors to ensure every pair of sensors maintain their distance from one another under any continuous movement. This property is known as rigidity. Rigidity may be required to ensure that no sensor will move out of range of any other sensor during movement. However, there arise situations which require us to decompose a rigid formation into two or more rigid sub-formations, perhaps to avoid an obstacle, to pursue different missions, or to allow merging of part of the original formation with another formation. The paper demonstrates that it is not always possible to decompose a rigid formation into rigid sub-formations without adding new distance constraints. The paper also discusses how to decompose a formation into connected but not necessarily rigid sub-formations (to which edges could be added to ensure rigidity of the sub-formations). We show it is always possible to decompose a rigid formation into two connected sub-formations, one of which has arbitrary order, without the addition of any new distance constraints, and we present an algorithm to do this. Although the sub-formations may not be rigid, the connectedness property ensures that no agent or group of agents can deviate too far away from the rest of the agents in the same connected component, and any agent can communicate with any other agent (perhaps via intermediate agents) in the same sub-formation. This will allow rigidity to be recovered within each connected sub-formation by applying existing algorithms.
UR - http://www.scopus.com/inward/record.url?scp=77950815360&partnerID=8YFLogxK
U2 - 10.1109/CDC.2009.5400859
DO - 10.1109/CDC.2009.5400859
M3 - Conference contribution
SN - 978-1-4244-3871-6
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 859
EP - 864
BT - Proceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Y2 - 15 December 2009 through 18 December 2009
ER -