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by
Zhang, Guangjun. author.
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Star Identification Methods, Techniques and Algorithms / Zhang, Guangjun. author.
by
Rajagopal, Karthikeyan, author.
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Quantum Inspired Algorithms for Learning and Control of Stochastic Systems / Rajagopal, Karthikeyan
by
Fischels, Matthew Vincent, author.
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developed and compared to the Crank-Nicholson based SIMPLER and the explicit RK-SIMPLER algorithms. The IRK
by
Dirkx, Dominic. author.
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performance. All applied models and algorithms used are explained in detail, allowing for reconstructing the
by
Song, Jiazhi, author.
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-invariant consensus-based distributed algorithms is proposed. Then, it is proven that, given a convergent distributed
by
Braun, Adam D., author.
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CubeSats to utilize AI algorithms. These computationally intensive AI algorithms, such as Deep Learning
by
Kim, Nam-Ho. author.
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-squares • Bayesian inference and parameter estimation • Physics-based prognostics algorithms including nonlinear
by
Odic, Richard Marie, author.
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algorithms. These algorithms involve processing the temperature time derivative, the spatial gradient, the
by
Ellery, Alexander, author.
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control algorithms and standard spacecraft attitude control techniques. A mathematical proof of the
by
Mohammed, Thabit Sultan, author.
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reconciled. The design of improved fault diagnosis algorithms for systems without a global observer provides
by
Subedi, Hari B., author.
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achieving their theoretical limits. Robust estimation and control algorithms that can estimate and control
by
Abrantes, Richard Jun Espino, author.
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-reduction algorithms. The techniques explored in this work included the quasi-steady-state (QSS) solution, uniform