TY - GEN
T1 - Discrete-time heterogeneous multi-agent system formation control with high-fidelity simulation
AU - Ma, Wenzong
AU - Han, Liang
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - This article studies formation control for the discrete-time heterogenous multi-agent system, where the components are unmanned ground vehicles (UGVs) and unmanned air vehicles (UAVs). Based on the neighboring states, a discrete-time formation control protocol is presented. Sufficient conditions are listed for the heterogeneous multi-agent system to complete the specified formation. A simulation platform with high fidelity using Gazebo is introduced, where the components are structured with respect to the fidelity of the air-ground collaboration scenario. A numerical example is presented to confirm the effectiveness of the theoretical results.
AB - This article studies formation control for the discrete-time heterogenous multi-agent system, where the components are unmanned ground vehicles (UGVs) and unmanned air vehicles (UAVs). Based on the neighboring states, a discrete-time formation control protocol is presented. Sufficient conditions are listed for the heterogeneous multi-agent system to complete the specified formation. A simulation platform with high fidelity using Gazebo is introduced, where the components are structured with respect to the fidelity of the air-ground collaboration scenario. A numerical example is presented to confirm the effectiveness of the theoretical results.
KW - discrete-time
KW - formation control
KW - heterogenous multi-agent system
KW - high-fidelity simulation
UR - https://www.scopus.com/pages/publications/85128031321
U2 - 10.1109/CAC53003.2021.9727894
DO - 10.1109/CAC53003.2021.9727894
M3 - 会议稿件
AN - SCOPUS:85128031321
T3 - Proceeding - 2021 China Automation Congress, CAC 2021
SP - 6785
EP - 6790
BT - Proceeding - 2021 China Automation Congress, CAC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 China Automation Congress, CAC 2021
Y2 - 22 October 2021 through 24 October 2021
ER -