Multi-Agent Cooperative Control Strategy and Algorithm Design in Smart Community

The purpose of this article is to study the cooperative control strategy and algorithm design of multi-agent in smart community, so as to improve the management efficiency of smart community, optimize resource allocation, and enhance the convenience and security of residents' lives. In order to achieve this goal, this article first analyzes the background and significance of smart community and the basic theory of Multi-Agent system (MAS), and makes clear the necessity and feasibility of the research. Then, a hierarchical and distributed multi-agent collaborative control overall design framework is proposed, and the key collaborative control strategies are explored. Strategies include task assignment, path planning and cooperation and competition mechanism among agents. On this basis, a series of efficient and practical algorithms are designed, and the effectiveness of the strategy and algorithms is fully verified by simulation experiments. The research results show that the designed multi-agent cooperative control strategy and algorithm can significantly improve the operation efficiency of smart communities, optimize resource allocation and improve residents' satisfaction. These achievements will not only enrich the theoretical system of multi-agent collaborative control, but also provide strong technical support for the practical application of smart communities.