The article presents an analysis of the current state of the monitoring process in spacecraft (SC) flight control. It outlines the state of monitoring technologies currently used in the flight control of modern spacecraft. The shortcomings of the monitoring process, which are exacerbated by the development of space technology, are identified. To address these shortcomings, the use of new intelligent methods is proposed, which, by increasing the automation of the spacecraft flight monitoring process, will enhance the reliability and efficiency of control. Promising methods for improving the reliability of spacecraft monitoring using artificial intelligence technologies, in particular artificial neural networks (ANN), are considered.
An analysis of scientific publications on the application of ANNs in space technology was conducted; examples of ANN application in flight control, diagnostics, and data processing tasks are provided. The advantages and limitations of using neural networks in space technology are examined.

Keywords: spacecraft, flight control, monitoring, state analysis, flight management, telemetry data