TY - GEN
T1 - Consensus in Directed Networks of First-order Agents with Unknown High-frequency Gain Signs
AU - Wang, Qingling
AU - Sun, Changyin
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/21
Y1 - 2018/8/21
N2 - In this paper, we study the consensus problem of first-order linearly parameterized agents with unknown high-frequency gain signs. We first propose a class of Nussbaum function based algorithms to deal with the unknown high-frequency gain signs. Then, under the assumption that the graph topology is strongly connected, it is shown that the first-order linearly parameterized agents with unknown high-frequency gain signs can achieve consensus. Finally, an example is provided to verify the proposed algorithms.
AB - In this paper, we study the consensus problem of first-order linearly parameterized agents with unknown high-frequency gain signs. We first propose a class of Nussbaum function based algorithms to deal with the unknown high-frequency gain signs. Then, under the assumption that the graph topology is strongly connected, it is shown that the first-order linearly parameterized agents with unknown high-frequency gain signs can achieve consensus. Finally, an example is provided to verify the proposed algorithms.
UR - https://www.scopus.com/pages/publications/85053166834
U2 - 10.1109/ICCA.2018.8444325
DO - 10.1109/ICCA.2018.8444325
M3 - 会议稿件
AN - SCOPUS:85053166834
SN - 9781538660898
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 528
EP - 531
BT - 2018 IEEE 14th International Conference on Control and Automation, ICCA 2018
PB - IEEE Computer Society
T2 - 14th IEEE International Conference on Control and Automation, ICCA 2018
Y2 - 12 June 2018 through 15 June 2018
ER -