TY - GEN
T1 - Distributed Algorithm for Achieving Minimum l1 Norm Solutions of Linear Equation
AU - Zhou, Jingqiu
AU - Xuan, Wang
AU - Mou, Shaoshuai
AU - Anderson, Brian D.O.
N1 - Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - This paper proposes a distributed algorithm for multi-agent networks to achieve a minimum l1-norm solution to a linear equation Ax=b where A has full row rank. When the underlying network is undirected and fixed, it is proved that the proposed algorithm drive all agents' individual states to converge in finite-time to the same minimum l 1-norm solution. Numerical simulations are also provided as validation of the proposed algorithms.
AB - This paper proposes a distributed algorithm for multi-agent networks to achieve a minimum l1-norm solution to a linear equation Ax=b where A has full row rank. When the underlying network is undirected and fixed, it is proved that the proposed algorithm drive all agents' individual states to converge in finite-time to the same minimum l 1-norm solution. Numerical simulations are also provided as validation of the proposed algorithms.
UR - http://www.scopus.com/inward/record.url?scp=85052600280&partnerID=8YFLogxK
U2 - 10.23919/ACC.2018.8431766
DO - 10.23919/ACC.2018.8431766
M3 - Conference contribution
AN - SCOPUS:85052600280
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 5857
EP - 5862
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -