Multi-Agent Control: A Graph-Theoretic Perspective

Progress in development of multi-agent control is reviewed. Different approaches for control, estimation, and optimization are discussed a systematic way with particular emphasis on the graph-theoretic perspective. Attention paid to design systems via Laplacian dynamics, as well role graph spectrum, challenges unbalanced digraphs, consensus-based estimation statistics. Some emergent issues, e.g., distributed optimization, average tracking, network games, also reported, which have witnessed extensive recently. There over 200 references listed, mostly recent contributions.