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Neural Identiļ¬cation for Control
The proposed method for learning control for an unknown nonlinear dynamical system by formulating a system identiļ¬cation task. -
Stability Verification in Stochastic Control Systems via Neural Network
The dataset used in the paper is a discrete-time stochastic dynamical system with two novel aspects: (a) using ranking supermartingales (RSMs) to certify almost-sure asymptotic...
