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In this paper, we studies the adaptive fast sliding attitude tracking control problem for flexible spacecraft without any information about time-varying external disturbances and flexible vibration.
A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.
Caltech scientists have found a fast and efficient way to add up large numbers of Feynman diagrams, the simple drawings ...
The optimization process of the traditional single-step finite control set model predictive control (FCS-MPC) strategy only considers one control cycle, which leads to the high switching frequency of ...
More and more companies today are facing adaptive challenges: Changes in societies, markets, and technologies around the globe constantly force businesses to clarify their values, develop new ...
Reprint: R0711C Many executives are surprised when previously successful leadership approaches fail in new situations, but different contexts call for different kinds of responses. Before ...
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