TY - GEN
T1 - Hybrid rigidity theory with signed constraints and its application to formation shape control in 2-D space
AU - Kwon, Seong Ho
AU - Sun, Zhiyong
AU - Anderson, Brian D.O.
AU - Ahn, Hyo Sung
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/12/14
Y1 - 2020/12/14
N2 - In this paper, we develop a hybrid rigidity theory that involves distances (or unsigned angles) and signed angle constraints for a framework in 2-D space. The new rigidity theory determines a rigid formation shape up to a translation and a rotation by a set of distance and signed angle constraints, or up to a translation, a rotation and, additionally, a scaling factor by a set of unsigned angle and signed angle constraints. In particular, the hybrid rigidity theory provides insights on choosing heterogeneous constraints to address issues associated with flip (or reflection), flex and ordering ambiguities for a target formation. We then apply the rigidity theory to formation shape control with the minimal number of heterogeneous constraints in 2-D space. It is shown that a developed gradient-based control system guarantees local exponential convergence to a desired formation, where each single-integrator modeled agent only requires relative position measurements with respect to its neighbors.
AB - In this paper, we develop a hybrid rigidity theory that involves distances (or unsigned angles) and signed angle constraints for a framework in 2-D space. The new rigidity theory determines a rigid formation shape up to a translation and a rotation by a set of distance and signed angle constraints, or up to a translation, a rotation and, additionally, a scaling factor by a set of unsigned angle and signed angle constraints. In particular, the hybrid rigidity theory provides insights on choosing heterogeneous constraints to address issues associated with flip (or reflection), flex and ordering ambiguities for a target formation. We then apply the rigidity theory to formation shape control with the minimal number of heterogeneous constraints in 2-D space. It is shown that a developed gradient-based control system guarantees local exponential convergence to a desired formation, where each single-integrator modeled agent only requires relative position measurements with respect to its neighbors.
UR - http://www.scopus.com/inward/record.url?scp=85099875751&partnerID=8YFLogxK
U2 - 10.1109/CDC42340.2020.9303970
DO - 10.1109/CDC42340.2020.9303970
M3 - Conference contribution
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 518
EP - 523
BT - 2020 59th IEEE Conference on Decision and Control, CDC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 59th IEEE Conference on Decision and Control, CDC 2020
Y2 - 14 December 2020 through 12 July 2024
ER -