How Training Data Impacts Performance in Learning-Based Control | 0 | 0.34 | 2021 |
The Impact of Data on the Stability of Learning-Based Control. | 0 | 0.34 | 2021 |
Data Selection for Multi-Task Learning Under Dynamic Constraints | 0 | 0.34 | 2021 |
Smart Forgetting for Safe Online Learning with Gaussian Processes. | 0 | 0.34 | 2020 |
Learning stochastically stable Gaussian process state–space models | 0 | 0.34 | 2020 |
Localized active learning of Gaussian process state space models. | 0 | 0.34 | 2020 |
Feedback Linearization Based on Gaussian Processes With Event-Triggered Online Learning | 1 | 0.35 | 2020 |
Posterior Variance Analysis of Gaussian Processes with Application to Average Learning Curves. | 0 | 0.34 | 2019 |
An Uncertainty-Based Control Lyapunov Approach for Control-Affine Systems Modeled by Gaussian Process. | 0 | 0.34 | 2018 |
Stable Gaussian Process Based Tracking Control Of Lagrangian Systems | 1 | 0.36 | 2018 |
Mean Square Prediction Error Of Misspecified Gaussian Process Models | 0 | 0.34 | 2018 |
Stable Model-Based Control With Gaussian Process Regression For Robot Manipulators | 2 | 0.37 | 2018 |
Scenario-Based Optimal Control For Gaussian Process State Space Models | 0 | 0.34 | 2018 |
Feedback Linearization Using Gaussian Processes | 0 | 0.34 | 2017 |
Learning Stable Gaussian Process State Space Models | 0 | 0.34 | 2017 |