Scalable Approach to Optimal Control Design for Large-dimensional Systems Using Operator Theoretic Methods
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As automation and artificial intelligence reshape our world, autonomous systems—like self-driving cars, delivery drones, and robotic assistants—must make decisions safely and efficiently in unpredictable environments. These systems operate under various sources of uncertainty, including sensor errors and unmodeled disturbances. A central technical…
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