采用极值搜索方法，解决无人机紧密编队飞行中僚机所需动力最小化的问题。
The paper presents a design approach based on extremum seeking for minimum power demand of formation flight of Unmanned Aerial Vehicle.
针对无人机近距离编队飞行问题，采用极值搜索算法，解决其中僚机所需动力最小化的控制问题。
An approach based on extremum seeking algorithms for the minimum power demand of the wingman in formation flight of an UAV is presented.
数值实例表明，拥挤聚类模型在多极值搜索的数量、质量和精度上都优于拥挤模型与确定性拥挤模型。
Numerical results indicate that crowding clustering model is superior to both crowding model and deterministic crowding model in quantity, quality and accuracy of multi-optima searching.
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