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On applying AI-driven flight data analysis for operational spacecraft model-based diagnostics., , , and . Annu. Rev. Control., (2020)Analysis of artificial neural network performance based on influencing factors for temperature forecasting applications., , and . J. High Speed Networks, 26 (3): 209-223 (2020)A stochastic dynamic programming approach for the machine replacement problem., , , and . Eng. Appl. Artif. Intell., (2023)Applying analytical and empirical schedulability analysis techniques to a real spacecraft flight software., , and . Int. J. Embed. Syst., 13 (4): 361-371 (2020)Enhanced Exploration Least-Squares Methods for Optimal Stopping Problems., , , and . IEEE Control. Syst. Lett., (2022)A Lyapunov-based version of the value iteration algorithm formulated as a discrete-time switched affine system., , and . Int. J. Control, 96 (3): 577-592 (March 2023)Photoelectrothermal model predictive control for Light Emitting Diodes., , , and . CDC, page 394-399. IEEE, (2012)State aggregation approximate dynamic programming for model-based spacecraft autonomy., and . ECC, page 86-91. IEEE, (2016)A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage., , and . IEEE Control. Syst. Lett., (2023)A data-driven approximate dynamic programming approach based on association rule learning: Spacecraft autonomy as a case study., , , and . Inf. Sci., (2019)