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Information-Aware Model Predictive Control for Satellite Inspection

US & West ·

A MPC framework for autonomous satellite inspection incorporates estimation covariance into the control objective, merging control and state estimation. The covariance evolves via a linear Kalman filter, and the measurement model depends on relative geometry. This optimizes trajectories for informative data collection while satisfying safety constraints.

Why it matters

The approach demonstrates integration of estimation and control to improve data collection efficiency, relevant for asset monitoring and control tasks.

Relevant to DT products

Original headline
Information-Aware Model Predictive Control for Satellite Inspection
Read the original: arXiv — Systems and Control (eess.SY)

Translation and summary are machine-generated from the source. The full article is not republished; its rights belong to the source.

Related

Market & products

Palantir объявила о новых альянсах с NVIDIA и Fujitsu для ИИ и кибербезопасности

Palantir Technologies (NasdaqGS:PLTR) объявила о новых глобальных альянсах с Fujitsu, NVIDIA, Method Security и Nebius. Соглашения направлены на расширение использования софта Palantir в международном производстве, цепочках поставок ИИ, кибербезопасности и суверенной облачной инфраструктуре.

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