Aerospace Instrument-Making Annotation << Back Conceptual Foundations for Building Subsystemsfor Identifying Waypoints in the Conditionsof Navigation Anomalies Mikheev M.Yu., Zhashkova T.V., Roganov V.R. The relevance of the study is determined by the need to ensure the reliability of navigation systems for autonomous objects under the influence of destabilizing factors of various physical nature, leading to spatiotemporal distortions of the navigation field and reduced positioning accuracy. This problem becomes particularly important in the creation of digital twins of navigation systems, where real-time synchronization of physical objects with their virtual models is required. This paper proposes a conceptual framework for building subsystems for the identification of parametrically defined waypoints, considering parametric uncertainty as a fundamental property of navigation systems under real operating conditions. For the fi rst time, a two-stage neural network architecture is proposed, combining convolutional encoding for local feature extraction and a transformer attention mechanism for global anomaly compensation, which ensures identification robustness over a wide range of destabilizing factors. A methodology for generating synthetic data with a controlled level of parametric uncertainty is developed, providing the creation of representative samples for model training and verification. The developed conceptual framework can be used in the creation of next-generation waypoint identification subsystems for autonomous navigation systems of unmanned aerial vehicles, ground mobile platforms, and underwater robots operating under complex interference conditions and a priori parametric uncertainty. The proposed solutions are significant for the creation of digital twins of navigation systems, providing bidirectional real-time synchronization of the physical object and its virtual model. Keywords: waypoint identification, parametric uncertainty, navigation anomalies, digital twin, parametric model, autonomous navigation. DOI: 10.25791/aviakosmos.6.2026.1561 Pp. 03-14.