Abstract: Accurate, efficient, and robust state estimation is more important than ever in robotics as the variety of platforms and complexity of tasks continue to grow. Historically, discrete-time ...
Abstract: This study seeks to develop a data-driven output-feedback homotopic policy iteration for assuring optimal performance of linear unknown continuous-time systems. Conventional policy iteration ...
Clarkson University researchers have developed an artificial intelligence tool that can uncover the mathematical equations ...
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