期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 51, 期 10, 页码 6503-6512出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2019.2963089
关键词
Eigenvalues and eigenfunctions; Consensus algorithm; Multi-agent systems; Graph theory; Couplings; Delays; Laplace equations; Consensus; continuous-time; discrete-time; hybrid multiagent systems (MASs); second-order
资金
- National Natural Science Foundation of China [61991412, 61873318, U1913602]
- Natural Science Foundation of Hubei Province of China [2018CFA058]
- Frontier Research Funds of Applied Foundation of Wuhan [2019010701011421]
- National 973 Program [613294]
- Program for HUST Academic Frontier Youth Team [2018QYTD07]
This article studies the consensus of hybrid second-order multiagent systems, proposing a hybrid consensus algorithm and analyzing the convergence of the system matrix. The research also highlights the significant impact of controller parameters and eigenvalues of network topology on system consensus. Several simulation examples are presented to validate the results.
This article studies the consensus of hybrid second-order multiagent systems (MASs), where the hybrid MAS is constituted by the continuous-time second-order (CTSO) and discrete-time second-order (DTSO) dynamic agents. First, a hybrid consensus algorithm is proposed, where a sample-data control is considered in the CTSO subsystems. Under the proposed hybrid consensus algorithm, the convergence of the hybrid second-order MAS matrix is analyzed. Second, a sufficient and necessary condition is proposed, which indicates that the controller parameters, such as coupling gains and the sampling interval, and eigenvalues of network topology have a significant impact on the system consensus. Finally, several simulation examples are presented to prove the validity of the results.
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