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Neural Lyapunov Control

NeurIPS 2019 · Learning theory and algorithms › Combinatorial and search optimization · approach: Constrained neural network optimization · 130 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
learn control and neural Lyapunov function jointly with SMT falsifier instead of LQRLQR controller · Inverted Pendulumregion of attractionHelped
learn control and neural Lyapunov function jointly instead of LQRLQR controller · four nonlinear control tasksregion of attraction: 300% to 600%Helped
neural Lyapunov function instead of SOS/SDPSOS/SDP · Inverted Pendulumregion of attractionHelped

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