The paper shows δ-covering dissipativity estimation has intractable sample complexity and proposes a PAC generalization bound to quantify robustness of ML-based dissipativity estimation.
Dissipative dynamical systems: b asic input- output and state properties,
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Issues with Input-Space Representation in Nonlinear Data-Based Dissipativity Estimation
The paper shows δ-covering dissipativity estimation has intractable sample complexity and proposes a PAC generalization bound to quantify robustness of ML-based dissipativity estimation.