Abstract
The tremendous advances in aerospace technology and optical communication boom the launch/deployment of high-reliable, flexible, and less-cost multi-satellite platform applications, ranging from constellations to spacecraft formation flying (SFF) missions (Bandyopadhyay et al. in 53rd AIAA aerospace sciences meeting, Kissimmee, FL, United states, pp 1623–1640, (2015), [1], Guelman et al. in IEEE Trans Aerosp Electron Syst 40(4):1239–1248 (2004), [2], Cui et al. in IEEE Trans Ind Inf 16(4):2509–2519, (2020), [3]). Especially for the SFF missions, such as Earth observation and environment monitoring, a graceful capability of maneuver-maintenance on some specified spatial configurations is an essential prerequisite for mission execution. For instance, TanDEM-X, a radar satellite developed by German Aerospace Center (DLR) [4], has been orbiting Earth, while keeping a pre-appointed formation flying with its “twin” satellite TerraSAR-X, aiming to accurately acquire a global digital elevation model. As a result, designing efficient relative motion coordinated control schemes for the SFF system exhibits significant research value, and has been invoking an ever-growing attention over the past decade.
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Hu, Q., Shao, X., Guo, L. (2023). Learning-Based Adaptive Optimal Event-Triggered Control for Spacecraft Formation Flying. In: Intelligent Autonomous Control of Spacecraft with Multiple Constraints. Springer, Singapore. https://doi.org/10.1007/978-981-99-0681-9_7
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DOI: https://doi.org/10.1007/978-981-99-0681-9_7
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