Several essential services, such as cellular phones, the Internet, television, navigation, weather prediction, and remote sensing, rely on satellites in low-Earth orbits, the technology for which is fairly mature by now. With the advent of the 21st century, space exploration has evolved to accomplish various complex and challenging missions, both within and beyond low-Earth orbits. Next-generation space missions will focus on more complex orbital operations, which include active debris removal; on-orbit servicing through rendezvous and docking; cooperative missions with multiple satellites, such as constellation and cluster formations; and so on. In addition, traversing uncharted territories, such as halo orbits around Lagrange points, probing multiple asteroids and comets across the solar system and beyond, and autonomous landing on planetary bodies, have become part of challenging missions that are increasingly common. Several space organizations of various countries (including capable private players) are showing great interest in such missions for a variety of reasons, such as basic curiosity to explore the universe and its origin and harnessing minerals and energy from other planetary bodies.

中文翻译：

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使用模型预测静态编程来应对具有挑战性的太空任务的计算指导：带有示例场景的介绍性教程


手机、互联网、电视、导航、天气预报和遥感等多项基本服务都依赖于近地轨道卫星，而该技术目前已经相当成熟。随着 21 世纪的到来，太空探索已经发展到可以完成近地轨道内外的各种复杂且具有挑战性的任务。下一代太空任务将侧重于更复杂的轨道操作，其中包括主动清除碎片；通过交会对接进行在轨服务；多颗卫星的合作任务，例如星座和星团编队；等等。此外，穿越未知领域，例如围绕拉格朗日点的光环轨道、探测太阳系内外的多个小行星和彗星，以及在行星体上自主着陆，已成为越来越常见的挑战性任务的一部分。出于各种原因，各国的几个太空组织（包括有能力的私人参与者）对此类任务表现出极大的兴趣，例如对探索宇宙及其起源以及利用来自其他行星体的矿物和能源的基本好奇心。