A ReLU neural network approximates the distorted constraint set in flat systems to derive a positively invariant set for control synthesis.
A ‘universal’construction of Artstein 's theorem on nonlinear stabilization
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On ANN-enhanced positive invariance for nonlinear flat systems
A ReLU neural network approximates the distorted constraint set in flat systems to derive a positively invariant set for control synthesis.