Research map / Learning theory and algorithms / Kernels and regression theory
Uniform Error Bounds for Gaussian Process Regression with Application to Safe Control
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| derive the uniform error bound using the GP prior distribution and continuity arguments rather than RKHS restrictions | Gaussian process regression with noisy observations · Uniform error bounds | function-class coverage | Helped |
| use the derived GP error bound to set a tracking-error safety region | GP model-based tracking control · Robotic manipulator simulation | safety guarantee | Helped |
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