多飞行器的分布式优化研究现状与展望

In the aviation field, practical tasks such as coordinated search and rescue, area monitoring, and formation control of multiple aircraft are conducted by many individuals with distributed information and complex task objectives. Distributed optimization is an important guarantee for the effective coordination of multiple aircraft in the above tasks, having significant theoretical and practical value. A brief introduction to classical distributed optimization tasks in the field of aviation is presented, and a research overview of distributed optimization work is conducted from three perspectives: problem models, research frameworks and classical algorithms of optimization problems. According to the optimization problems, the classical research works in the field of distributed optimization are summarized from four aspects: unconstrained distributed optimization, distributed optimization with set constraints, distributed optimization with inequality constraints, and distributed non-convex optimization. In addition, common difficulties in distributed optimization study and the future research directions of distributed optimization work are also discussed.