Dynamical systems have an intrinsic state variable that bijectively encodes their behavior in a causality-free way, allowing control design entirely in state space and a neural network to learn this representation from operating data.
Data-dr iven stabiliza- tion of nonlinear systems with rational dynamics
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Behavioral Systems Theory Meets Machine Learning: Control-Aware Learning of the Intrinsic Behavior from Big Data
Dynamical systems have an intrinsic state variable that bijectively encodes their behavior in a causality-free way, allowing control design entirely in state space and a neural network to learn this representation from operating data.