Learnability for Dynamical Systems
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Author(s)
O’Flaherty, Rowland
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Abstract
This paper takes a step towards defining what it
means for a dynamical system, such as a robot, to be able to learn through the notion of
learnability. It takes a system-theoretic view to define what learning is and establishes when a
system can and can not learn. Equipped with this definition of learnability, we provide a learnability result for linear systems
with quadratic costs that is then applied to two different types of mobile robots, namely a simulated two-wheel inverted pendulum robot and a real, locomoting robotic platform.
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2014-07
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Text
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Proceedings