Journal
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
Volume 34, Issue 5, Pages 1973-2002Publisher
SPRINGER HEIDELBERG
DOI: 10.1007/s11424-021-1218-6
Keywords
Consensus; cooperative control; distributed average tracking; distributed optimization; multi-agent system
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Funding
- National Science Foundation of China [61973061, 61973064]
- Hebei Natural Science Foundation for Distinguished Young Scholars [F2019501043, F2019501126]
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The paper reviews progress in the development of multi-agent control, discussing different approaches with an emphasis on the graph-theoretic perspective. Topics include the design of multi-agent systems via Laplacian dynamics, the role of the graph Laplacian spectrum, challenges of unbalanced digraphs, and consensus-based estimation of graph statistics. It also reports on emergent issues such as distributed optimization, distributed average tracking, and distributed network games, which have seen extensive recent development.
Progress in development of multi-agent control is reviewed. Different approaches for multi-agent control, estimation, and optimization are discussed in a systematic way with particular emphasis on the graph-theoretic perspective. Attention is paid to the design of multi-agent systems via Laplacian dynamics, as well as the role of the graph Laplacian spectrum, the challenges of unbalanced digraphs, and consensus-based estimation of graph statistics. Some emergent issues, e.g., distributed optimization, distributed average tracking, and distributed network games, are also reported, which have witnessed extensive development recently. There are over 200 references listed, mostly to recent contributions.
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