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A Stochastic Global Identification Framework for Aerospace Vehicles Operating Under Varying Flight States., , , и . CoRR, (2016)A novel robust MPC based aircraft auto-throttle for performing 4D contract flights., , , и . ASCC, стр. 1-6. IEEE, (2013)On Formal Verification of Data-Driven Flight Awareness: Leveraging the Cramér-Rao Lower Bound of Stochastic Functional Time Series Models., , , , и . DDDAS, том 13984 из Lecture Notes in Computer Science, стр. 44-52. Springer, (2022)Towards Provably Correct Probabilistic Flight Systems., , , и . DDDAS, том 12312 из Lecture Notes in Computer Science, стр. 236-244. Springer, (2020)A Self-Adaptive 1D Convolutional Neural Network for Flight-State Identification., , , , и . Sensors, 19 (2): 275 (2019)Statistical Active-Sensing Structural Health Monitoring via Stochastic Time-Varying Time Series Models., и . ACC, стр. 3599-3606. IEEE, (2022)Dynamic Data-Driven Formal Progress Envelopes for Distributed Algorithms., , , и . DDDAS, том 12312 из Lecture Notes in Computer Science, стр. 245-252. Springer, (2020)Data-Driven State Awareness for Fly-by-Feel Aerial Vehicles via Adaptive Time Series and Gaussian Process Regression Models., , , и . DDDAS, том 12312 из Lecture Notes in Computer Science, стр. 57-65. Springer, (2020)An adaptive time series framework for aircraft 4D trajectory conformance monitoring., и . ECC, стр. 872-877. IEEE, (2013)