Closed-Loop Statistical Verification of Stochastic Nonlinear Systems Subject to Parametric Uncertainties
© 2018 AACC. This paper proposes a statistical verification framework using Gaussian processes (GPs) for simulation-based verification of stochastic nonlinear systems with parametric uncertainties. Given a small number of stochastic simulations, the proposed framework constructs a GP regression mode...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2021-11-09T15:42:45Z.
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| Subjects: | |
| Online Access: | Get fulltext |