TY - JOUR
T1 - Controlling and Stabilizing a Rigid Formation Using a Few Agents
AU - Chen, Xudong
AU - Belabbas, Mohamed Ali
AU - Başar, Tamer
N1 - Funding Information:
∗Received by the editors February 20, 2018; accepted for publication (in revised form) October 30, 2018; published electronically January 3, 2019. A preliminary version appeared in the Proceeding of the 2016 55th IEEE Conference on Decision and Control, IEEE, Piscataway, NJ. http://www.siam.org/journals/sicon/57-1/M117176.html Funding: The work of the third author was supported in part by U.S. Army Research Office (ARO) Grant W911NF-16-1-0485, and in part by Office of Naval Research (ONR) MURI Grant N00014-16-1-2710. The work of the second author was supported in part by NSF ECCS 13-07791, and in part by NSF ECCS CAREER 13-51586. †Corresponding author. ECEE Department, University of Colorado at Boulder, Boulder, CO 80309 ([email protected]). ‡Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL 61801 ([email protected], [email protected]).
Funding Information:
The work of the third author was supported in part by U.S. Army Research Office (ARO) Grant W911NF-16-1-0485, and in part by Office of Naval Research (ONR) MURI Grant N00014-16-1-2710. The work of the second author was supported in part by NSF ECCS 13-07791, and in part by NSF ECCS CAREER 13-51586.
Publisher Copyright:
© 2019 Society for Industrial and Applied Mathematics.
PY - 2019
Y1 - 2019
N2 - We show in this paper that a small subset of agents of a formation of n agents in Euclidean space can control the position and orientation of the entire formation. We consider here formations tasked with maintaining interagent distances at prescribed values. It is known that when the interagent distances specified can be realized as the edges of a rigid graph, there is a finite number of possible configurations of the agents that satisfy the distance constraints, up to rotations and translations of the entire formation. We show here that under mild conditions on the type of control used by the agents, a small subset of them forming a clique can work together to control both position and orientation of the formation as a whole. Mathematically, we investigate the effect of certain permissible perturbations of a nominal dynamics of the formation system. In particular, we show that any such perturbation leads to a rigid motion of the entire formation. Furthermore, we show that the map which assigns to a perturbation the infinitesimal generator of the corresponding rigid motion is locally surjective, which then leads to the controllability result.
AB - We show in this paper that a small subset of agents of a formation of n agents in Euclidean space can control the position and orientation of the entire formation. We consider here formations tasked with maintaining interagent distances at prescribed values. It is known that when the interagent distances specified can be realized as the edges of a rigid graph, there is a finite number of possible configurations of the agents that satisfy the distance constraints, up to rotations and translations of the entire formation. We show here that under mild conditions on the type of control used by the agents, a small subset of them forming a clique can work together to control both position and orientation of the formation as a whole. Mathematically, we investigate the effect of certain permissible perturbations of a nominal dynamics of the formation system. In particular, we show that any such perturbation leads to a rigid motion of the entire formation. Furthermore, we show that the map which assigns to a perturbation the infinitesimal generator of the corresponding rigid motion is locally surjective, which then leads to the controllability result.
KW - Control of rigid motions
KW - Decentralized systems
KW - Equivariant dynamics
KW - Formation control
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U2 - 10.1137/18M117176X
DO - 10.1137/18M117176X
M3 - Article
AN - SCOPUS:85062685829
SN - 0363-0129
VL - 57
SP - 104
EP - 128
JO - SIAM Journal on Control and Optimization
JF - SIAM Journal on Control and Optimization
IS - 1
ER -